Describe the association for the scatterplot based on data plotted.

As the weeks increase, the amount of money on the gift card decreases.

As the weeks increase, the amount of money on the gift card increases.

As the weeks decrease, the amount of money on the gift card increases.

There is no relationship between the time in weeks and the amount of dollars.

The police department tracked the number of ticket writers and number of tickets issued for the past 8 weeks. The scatter plot shows the results. Which statement is true?

More ticket writers results in more tickets issued.

More ticket writers results in fewer tickets issued.

There were 50 tickets issued every week.

When there are 10 ticket writers, there will be 800 tickets issued.

Mr. Thomas wanted to know if the amount of class time that he gave students to study affected their test scores. What kind of relationship between class study time and test scores is shown on the scatter plot.

Positive then negative correlation

The following scatterplot describe the relationship between height (in cm) and foot length (also in cm) for 12 randomly selected students from the British Census @ Schools database. Which of the following is the best description of this relationship?

There is a moderate to weak, positive linear relationship between height and foot length.

There is some random variation, but otherwise height is directly proportional to foot length.

There is a roughly linear relationship between height and foot length.

A sociologist is studying the relationship between early childhood nutrition and academic achievement in middle school among children in a certain city. Which of the following statements about the variable “early childhood nutrition” is correct?

Early childhood nutrition is an explanatory variable.

Early childhood nutrition is a response variable.

Ms. Kreppel is interested in the relationship between her students' final exam scores and their scores on a pre-test they took at the beginning of the year. A scatterplot of the data for the 18 students in her class shows linear relationship for these variables. The equation of the least-squares regression line is ŷ = 34.2 + 0.60x Which of the following is a correct interpretation of the slope of this regression model

The predicted score on the final exam increases by 0.60 points for each increase of 1 point on the pretest.

For each one-unit increase in final exam score, the model predicts, on average, a 0.60 unit increase in pre-test score.

About 60% of the variation in exam score that is accounted for by the regression of exam score on pre-test score.

the difference between the observed and predicted values

making predictions outside of the range of the data

the percent of the variation in y that is explained by x

a number that describes the strength of a linear relationship

Unit 3 Analyzing Two-Variable Data Review

12th Grade

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Unit 3 Analyzing Two-Variable Data Review

Quiz

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Mathematics

•

12th Grade

•

Practice Problem

•

Medium

•

CCSS

HSF-LE.A.1B, HSF.LE.B.5, 8.F.A.3

Standards-aligned

Janet Gantert

Used 5+ times

FREE Resource

40 questions

Show all answers

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Describe the association between the number of lanes rented and the number of people bowling.

Non-linear association

Negative linear association

No association

Positive linear association

Tags

CCSS.8.F.A.3

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What would happen to the correlation if the number of people bowling was on the horizontal axis and the number of lanes rented was on the vertical axis?

The correlation would change because it distinguishes between the explanatory and response variables.

The correlation would stay the same because it does not distinguish between the explanatory and response variables.

The correlation would change because changing the units of measurement changes the correlation.

The correlation would stay the same because changing the units of measurement does not change the correlation.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Which conclusion is best supported by the scatterplot?

As the length of a call increases, the cost of the call increases.

As the length of a call increases, the cost of the call remains the same.

As the length of a call increases, the cost of the call decreases.

There is no relationship between the length of a call and the cost of the call.

Tags

CCSS.HSF.LE.B.5

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Describe the association for the graph.

Linear and Positive

Linear and Negative

Non-Linear and Negative

Non-Linear and Positive

Non-Linear and No Association

Tags

CCSS.8.F.A.3

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Describe the association for the graph.

Linear and Positive

Linear and Negative

Non-Linear and Positive

Non-Linear and Negative

Non-Linear and No Association

Tags

CCSS.HSF-LE.A.1B

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What would happen to the correlation if the time spent reading and watching TV was measured in minutes instead of in hours?

The correlation would change because it distinguishes between the explanatory and response variables.

The correlation would change because changing the units of measurement changes the correlation.

The correlation would stay the same because it does not distinguish between the explanatory and response variables.

The correlation would stay the same because changing the units of measurement does not change the correlation.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of correlation does this graph have?

Linear and Negative

Non-Linear and No Association

Linear and Positive

Non-Linear and Negative

Non-Linear and Positive

Tags

CCSS.8.F.A.3

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Unit 3 Analyzing Two-Variable Data Review

40 questions

Describe the association between the number of lanes rented and the number of people bowling.

What would happen to the correlation if the number of people bowling was on the horizontal axis and the number of lanes rented was on the vertical axis?

Which conclusion is best supported by the scatterplot?

Describe the association for the graph.

Describe the association for the graph.

What would happen to the correlation if the time spent reading and watching TV was measured in minutes instead of in hours?

What type of correlation does this graph have?

Which scatter plot shows a negative relationship?

Which scatter plot shows no relationship?

Which scatter plot show a positive relationship?

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