Which of the following pairs of variables would be expected to have a negative association?

Number of miles driven and amount of gas remaining in gas tank

Number of chores and weekly allowance

Number of hours spent studying and test grade

What's the appropriate interpretation of the slope of the regression line?

For every additional hour of growth, the logarithm of the culture's weight in grams is predicted to increase by 0.61.

For every additional 0.61 hours of growth, the culture is predicted to weight 1 more gram.

For every additional hour of growth, the culture is predicted to weigh 0.61 more grams.

At the beginning of the experiment, the logarithm of the culture's weight in grams was approximately 0.61 ounces.

Which is the best CONTEXTUAL description of the y - intercept for the linear regression equation of the rats: Weight = 100 + 40(Time)?

The y-intercept is 100, which means the rat is predicted to weigh 100 grams at birth.

The y-intercept is 100, which is where the graph crosses the y-axis.

100 is where the data starts on the y-axis.

The y-intercept is 100, which means at a weight of 0, the rat will take 100 seconds.

The correlation coefficient measures...

the strength of the linear relationship between two quantitative variables.

whether there is a relationship between two variables.

the strength of the relationship between two quantitative variables.

whether a cause and effect relation exists between two variables.

The correlation between study time (in hours) and quiz grade (in %) is r = 0.83 This tells us that...

Students who study more get better grades.

Students who study more get worse grades.

Students who study less get better grades.

83% of students who studied passed.

There is positive correlation between ice cream sales (x) and the number of people with sunburns (y). Does this mean if we sell more ice cream, we can increase the number of sunburns people get?

No, the positive correlation just shows that people are more likely to eat ice cream and get sunburns during the summer.

Yes, the correlation says as ice cream sales go up, the number of sunburns go up.

Yes, the positive correlation says if we sell more ice cream we can expect an increase in the number of sunburns.

No: if the correlation were negative we could accept that conclusion, but this correlation is positive.

JMR 2 Vars Review

Quiz

•

Mathematics

•

9th - 12th Grade

•

Practice Problem

•

Medium

•

CCSS

HSF-LE.A.1B, HSF.LE.B.5, 8.EE.C.8C

Standards-aligned

Geoffrey Reckerd

Used 2+ times

FREE Resource

30 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which scatter plot diagram shows the strongest positive correlation?

2.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

A restaurant sells pizza for the prices in the data table. Calculate the linear regression equation of the data.

y = 1.5x + 12

y = 12x + 1.5

y = 0.67x - 8

y = -8x + 0.67

A person travels by car. They record their miles driven in a data table. Calculate the linear regression equation of this data.

y = 61.93x - 1.79

y = -1.79x + 61.93

y = 0.016x + 0.03

y = 0.03x + 0.016

4.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

The annual profits for a company are given in the following table, where x represents the number of years since 1992, and y represents the profit in thousands of dollars. Write the linear regression equation that represents this set of data, rounding all coefficients to the nearest hundredth. Using this equation, estimate the year in which the profits would reach 378 thousand dollars.

2029

2014

2003

8753

5.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

The number of newly reported crime cases in a county in New York State is shown in the accompanying table, where x represents the number of years since 1994, and y represents number of new cases. Write the linear regression equation that represents this set of data, rounding all coefficients to the nearest hundredth. Using this equation, find the projected number of new cases for 2003, rounded to the nearest whole number.

974

25,101

940

952

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which scatter plot shows no relationship?

Graph A

Graph B

Graph C

Graph D

7.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Data was collected on the weight of a male laboratory rat for the first 25 weeks after its birth. The linear regression equation is
y= 40x+100, where x is number of weeks and y is weight in grams.
What does the y-intercept mean in context of the problem?

The predicted weight of the rat in year 0.

The predicted weight of the rat at birth.

The current weight of the rat.

The average increase in the rat's weight.

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JMR 2 Vars Review

30 questions

Which scatter plot diagram shows the strongest positive correlation?

A restaurant sells pizza for the prices in the data table. Calculate the linear regression equation of the data.

A person travels by car. They record their miles driven in a data table. Calculate the linear regression equation of this data.

Which scatter plot shows no relationship?

Data was collected on the weight of a male laboratory rat for the first 25 weeks after its birth. The linear regression equation is
y= 40x+100, where x is number of weeks and y is weight in grams.
What does the y-intercept mean in context of the problem?

Which scatter plot diagram shows the strongest positive correlation?

Which graph represents data that has a correlation coefficient close to -1?

What should a residual plot look like?

Access all questions and much more by creating a free account

Similar Resources on Wayground

Popular Resources on Wayground

Discover more resources for Mathematics

JMR 2 Vars Review

30 questions

Which scatter plot diagram shows the strongest positive correlation?

A restaurant sells pizza for the prices in the data table. Calculate the linear regression equation of the data.

A person travels by car. They record their miles driven in a data table. Calculate the linear regression equation of this data.

Which scatter plot shows no relationship?

Data was collected on the weight of a male laboratory rat for the first 25 weeks after its birth. The linear regression equation is y= 40x+100, where x is number of weeks and y is weight in grams. What does the y-intercept mean in context of the problem?

Which scatter plot diagram shows the strongest positive correlation?

Which graph represents data that has a correlation coefficient close to -1?

What should a residual plot look like?

Access all questions and much more by creating a free account

Similar Resources on Wayground

Popular Resources on Wayground

Discover more resources for Mathematics

Data was collected on the weight of a male laboratory rat for the first 25 weeks after its birth. The linear regression equation is
y= 40x+100, where x is number of weeks and y is weight in grams.
What does the y-intercept mean in context of the problem?