7:[["$","script",null,{"type":"application/ld+json","dangerouslySetInnerHTML":{"__html":"{\"@context\":\"https://schema.org\",\"@type\":\"Quiz\",\"name\":\"Quiz 1\",\"description\":\"Two-variable data: interpreting scatterplots, trends, and models.\",\"url\":\"https://theschoolofmathematics.com/quiz/psat-8-9-two-variable-data-models-scatterplots-quiz-1\",\"educationalLevel\":\"Fundamental\",\"numberOfQuestions\":10,\"isAccessibleForFree\":true,\"about\":{\"@type\":\"Thing\",\"name\":\"Problem-Solving and Data Analysis: Two-Variable Data-Models and Scatterplots\"}}"}}],["$","script",null,{"type":"application/ld+json","dangerouslySetInnerHTML":{"__html":"{\"@context\":\"https://schema.org\",\"@type\":\"BreadcrumbList\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https://theschoolofmathematics.com\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Quizzes\",\"item\":\"https://theschoolofmathematics.com/quiz\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Quiz 1\",\"item\":\"https://theschoolofmathematics.com/quiz/psat-8-9-two-variable-data-models-scatterplots-quiz-1\"}]}"}}],["$","div",null,{"className":"bg-gradient-to-b from-white via-gray-50 to-white","children":["$","div",null,{"className":"container mx-auto px-4 py-8 md:py-12","children":[["$","div",null,{"className":"mb-12","children":["$undefined",["$","div",null,{"className":"mb-8","children":["$","h1",null,{"className":"text-4xl md:text-5xl lg:text-6xl font-bold text-gray-900 mb-4","children":"Quiz 1"}]}],["$","div",null,{"className":"bg-white rounded-2xl shadow-lg p-6 md:p-8 border border-gray-200","children":[["$","div",null,{"className":"text-lg md:text-xl text-gray-700 mb-8 leading-relaxed prose prose-lg max-w-none","dangerouslySetInnerHTML":{"__html":"

Two-variable data: interpreting scatterplots, trends, and models.

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Practice quiz on two-variable data, models, and scatterplots for PSAT 8-9.

"},"excerpt":{"rendered":"

Two-variable data: interpreting scatterplots, trends, and models.

"},"featured_media":0,"featured_media_url":"$undefined","acf":{"duree_estimee":"$undefined","niveau_difficulte":"Fundamental","categorie":"Problem-Solving and Data Analysis: Two-Variable Data-Models and Scatterplots","nombre_questions":10,"score_minimum":90,"ordre_questions":"Fixe","questions":[{"id":"cmrk8f07l0y1jjg8wq2xiypy9","texte_question":"$18","type_question":"QCM","explication":"

Use the line of best fit, not the individual points.

Find $$8{,}500$$ feet on the horizontal axis.

Move up to the line of best fit.

The point on the line is close to $$39^\\circ F$$.

So, the predicted temperature is about $$39^\\circ F$$.

Final answer: $$39^\\circ F$$

","points":1,"temps_limite":60,"reponses":[{"texte":"$$$43^\\circ F$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"$$$37^\\circ F$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"$$$39^\\circ F$$","correcte":true,"explication":"","imageUrl":"$undefined"},{"texte":"

$$41^\\circ F$$

","correcte":false,"explication":"","imageUrl":"$undefined"}]},{"id":"cmrk8f07v0y1pjg8wx3w9h9hf","texte_question":"$19","type_question":"QCM","explication":"

Read the value on the graph for each day.

Tuesday is about $$60\\%$$.

Wednesday is about $$90\\%$$.

Thursday is about $$30\\%$$.

Friday is about $$70\\%$$.

The day with probability $$30\\%$$ is Thursday.

Final answer: $$\\mathrm{Thursday}$$

","points":1,"temps_limite":60,"reponses":[{"texte":"$$$\\mathrm{Tuesday}$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"$$$\\mathrm{Wednesday}$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"$$$\\mathrm{Thursday}$$","correcte":true,"explication":"","imageUrl":"$undefined"},{"texte":"

$$\\mathrm{Friday}$$

","correcte":false,"explication":"","imageUrl":"$undefined"}]},{"id":"cmrk8f0810y1vjg8w43zkerv4","texte_question":"$1a","type_question":"QCM","explication":"

Look for the lowest point on the line graph.

The lowest point occurs at model year $$2014$$.

The percent for $$2014$$ is about $$4\\%$$, which is smaller than the percents for the other model years shown.

Final answer: $$2014$$

","points":1,"temps_limite":60,"reponses":[{"texte":"$$$2012$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"$$$2013$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"$$$2014$$","correcte":true,"explication":"","imageUrl":"$undefined"},{"texte":"

$$2015$$

","correcte":false,"explication":"","imageUrl":"$undefined"}]},{"id":"cmrk8f0870y21jg8wz0y7hq5v","texte_question":"$1b","type_question":"QCM","explication":"

Use the line of best fit to make the prediction.

Find $$4{,}000$$ feet on the horizontal axis.

Move up to the line of best fit.

The line is close to $$35$$ on the temperature axis.

So, the predicted temperature is about $$35^\\circ F$$.

Final answer: $$35$$

","points":1,"temps_limite":60,"reponses":[{"texte":"$$$47$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"$$$35$$","correcte":true,"explication":"","imageUrl":"$undefined"},{"texte":"$$$25$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"

$$0$$

","correcte":false,"explication":"","imageUrl":"$undefined"}]},{"id":"cmrk8f08e0y27jg8wsor4z38q","texte_question":"$1c","type_question":"QCM","explication":"

The greatest average rate of decrease happens where the graph drops the most over a $$10$$-minute interval.

From $$0$$ to $$10$$ minutes, the temperature drops from about $$195^\\circ F$$ to about $$155^\\circ F$$.

The decrease is about:

$$195-155=40$$

From later intervals, the decreases are smaller.

Therefore, the greatest average rate of decrease occurs between $$0$$ and $$10$$ minutes.

Final answer: $$\\mathrm{Between\\ 0\\ and\\ 10\\ minutes}$$

","points":1,"temps_limite":60,"reponses":[{"texte":"$$$\\mathrm{Between\\ 0\\ and\\ 10\\ minutes}$$","correcte":true,"explication":"","imageUrl":"$undefined"},{"texte":"$$$\\mathrm{Between\\ 30\\ and\\ 40\\ minutes}$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"$$$\\mathrm{Between\\ 50\\ and\\ 60\\ minutes}$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"

$$\\mathrm{Between\\ 90\\ and\\ 100\\ minutes}$$

","correcte":false,"explication":"","imageUrl":"$undefined"}]},{"id":"cmrk8f08s0y2djg8wpptykjjv","texte_question":"$1d","type_question":"QCM","explication":"

As the number of hours studied increases, the score also increases.

The score goes from $$60$$ to $$65$$ to $$70$$ to $$75$$.

Since both variables increase together, the relationship is positive.

Final answer: $$\\mathrm{Positive\\ association}$$

","points":1,"temps_limite":60,"reponses":[{"texte":"$$$\\mathrm{Negative\\ association}$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"$$$\\mathrm{No\\ association}$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"$$$\\mathrm{Positive\\ association}$$","correcte":true,"explication":"","imageUrl":"$undefined"},{"texte":"

$$\\mathrm{Nonlinear\\ association}$$

","correcte":false,"explication":"","imageUrl":"$undefined"}]},{"id":"cmrk8f08x0y2jjg8wrjy37e41","texte_question":"

A scatterplot shows the number of minutes spent exercising and the number of calories burned. As the minutes increase, the calories burned also increase. Which statement best describes this relationship?

","type_question":"QCM","explication":"

The number of minutes spent exercising increases.

The number of calories burned also increases.

When both variables increase together, the relationship is positive.

Since the pattern is described as increasing in a consistent way, the best description is a positive linear relationship.

Final answer: $$\\mathrm{There\\ is\\ a\\ positive\\ linear\\ relationship}$$

","points":1,"temps_limite":60,"reponses":[{"texte":"$$$\\mathrm{There\\ is\\ a\\ negative\\ linear\\ relationship}$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"$$$\\mathrm{There\\ is\\ a\\ positive\\ linear\\ relationship}$$","correcte":true,"explication":"","imageUrl":"$undefined"},{"texte":"$$$\\mathrm{There\\ is\\ no\\ relationship}$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"

$$\\mathrm{The\\ relationship\\ is\\ random}$$

","correcte":false,"explication":"","imageUrl":"$undefined"}]},{"id":"cmrk8f0900y2pjg8w7lia1kbc","texte_question":"

A line of best fit for a set of data is given by the equation $$y=5x+40$$, where $$x$$ is the number of hours worked and $$y$$ is the amount earned in dollars. According to the model, how much is earned for $$6$$ hours of work?

","type_question":"QCM","explication":"

Use the model:

$$y=5x+40$$

Substitute $$6$$ for $$x$$.

$$y=5(6)+40$$

$$y=30+40$$

$$y=70$$

So, the amount earned is $$70$$ dollars.

Final answer: $$70$$

","points":1,"temps_limite":60,"reponses":[{"texte":"$$$45$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"$$$70$$","correcte":true,"explication":"","imageUrl":"$undefined"},{"texte":"$$$75$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"

$$80$$

","correcte":false,"explication":"","imageUrl":"$undefined"}]},{"id":"cmrk8f0930y2vjg8w3gojhs6t","texte_question":"

A scatterplot shows a downward trend between the number of absences and a student's final grade. Which of the following is the most reasonable interpretation?

","type_question":"QCM","explication":"

A downward trend means that as one variable increases, the other variable decreases.

Here, as the number of absences increases, the final grade tends to decrease.

So, more absences are associated with lower grades.

Final answer: $$\\mathrm{More\\ absences\\ are\\ associated\\ with\\ lower\\ grades}$$

","points":1,"temps_limite":60,"reponses":[{"texte":"

$$\\mathrm{More\\ absences\\ are\\ associated\\ with\\ higher\\ grades}$$

","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"$$$\\mathrm{More\\ absences\\ are\\ associated\\ with\\ lower\\ grades}$$","correcte":true,"explication":"","imageUrl":"$undefined"},{"texte":"$$$\\mathrm{Absences\\ have\\ no\\ effect\\ on\\ grades}$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"

$$\\mathrm{Grades\\ cause\\ absences}$$

","correcte":false,"explication":"","imageUrl":"$undefined"}]},{"id":"cmrk8f0950y31jg8wryyzrlvr","texte_question":"

A model predicts that a plant grows according to the equation $$h=2x+5$$, where $$h$$ is the height in centimeters and $$x$$ is the number of days. What is the predicted height after $$4$$ days?

","type_question":"QCM","explication":"

Use the model:

$$h=2x+5$$

Substitute $$4$$ for $$x$$.

$$h=2(4)+5$$

$$h=8+5$$

$$h=13$$

So, the predicted height after $$4$$ days is $$13$$ centimeters.

Final answer: $$13$$

","points":1,"temps_limite":60,"reponses":[{"texte":"$$$9$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"$$$11$$","correcte":false,"explication":"","imageUrl":"$undefined"},{"texte":"$$$13$$","correcte":true,"explication":"","imageUrl":"$undefined"},{"texte":"

$$15$$

","correcte":false,"explication":"","imageUrl":"$undefined"}]}]},"categories":["problem-solving-and-data-analysis-two-variable-data-models-and-scatterplots"],"date":"2026-06-04T09:04:48.766Z","modified":"2026-07-14T05:49:53.739Z"}}],["$","div",null,{"className":"container mx-auto px-4 pb-12","children":["$","$L1e",null,{"targetType":"quiz","targetSlug":"psat-8-9-two-variable-data-models-scatterplots-quiz-1"}]}]]}]}]]

Quiz 1

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