The correlation between the heights of fathers (x) and
the heights of their adult sons (y) is r = 0.89.
This tells us that...
Required
1 point
1
Question 2
2.
The correlation between the heights of fathers (x) and
the heights of their adult sons (y) is r = 0.89.
This also tells us that...
Required
1 point
1
Question 3
3.
You would draw a segmented bar graph for one of the following...
Required
1 point
1
Question 4
4.
Consider a large number of countries around the world. There is a positive correlation between the number of laptops per 1000 people (x) and the average life expectancy (y).
r = 0.865
Does this mean that we could increase the life expectancy in Rwanda by shipping laptops to that country?
Required
1 point
1
Question 5
5.
The United Nations has data on the percent of adult males and females who are illiterate in 142 countries.
The correlation between male illiteracy rate and female illiteracy rate is r = 0.945. Think about what the scatter plot must look like.
This tells us that...
Required
1 point
1
Question 6
6.
A study of the effects of television measured how many hours of television each of 125 grade school children watched per week during a school year and their reading scores.
Which variable would you put on the horizontal axis of a scatterplot of the data?
Required
1 point
1
Question 7
7.
A scatterplot and a least-squares regression line are shown in the figure below.
If the point (20, 25) that is labeled A is removed from the data set, which one of the statements below is TRUE?
Hint: think about what outliers do to the slope and y-intercept.
Required
1 point
1
Question 8
8.
A scatterplot of a set of data is shown below.
Which statement is true?
Required
2 points
2
Question 9
9.
The EverGlow nuclear power plant releases water into Lake Fishbegone every afternoon at 4:51 p.m. Environmental researchers are concerned that fish are being driven away from the area around the plant. They believe that the temperature of the water discharged may be a factor. The data table below gives the temperature of the water released by the plant and the measured distance (in meters) from the outflow pipe of the plant to the nearest fish found in the water on several randomly chosen afternoons. A scatterplot of the data and the least-squares regression line are given.
Describe the relationship between the variables.
Required
2 points
2
Question 10
10.
What is the slope of the least-squares regression line for this data?
(check information in #9)
Make sure to include units since this is a rate.
The units to choose from are: degrees Celsius and meters
Required
4 points
4
Question 11
11.
Using information from #9, interpret the slope in context.
Hint: make sure you check your notes 2.5 and 2.6
Make sure to include units since this is a rate.
The units to choose from are: degrees Celsius and meters
Required
1 point
1
Question 12
12.
Using information in #9, predict the distance to the nearest fish if the water was 25 degrees Celsius.
Round your answer to two places past the decimal.
Make sure to use units in your answer.
Required
1 point
1
Question 13
13.
Using the information in #9 & 12, find the residual for the distance to the nearest fish when the water was 25 degress Celsius.
Residual = _______
THEN: Interpret the residual regarding if you over or under predicted.
This means the model... _______
Required
1 point
1
Question 14
14.
A random sample of boarding school students was asked how many 8-ounce servings of soda they had consumed on a certain Sunday and how many hours of sleep they got that night. Their responses are displayed below.
Soda (# of servings): 0, 0, 1, 1, 2, 3, 3, 4, 5, 6, 6, 7, 7, 8, 10
Use statsmedic.com/applets 2 quantitative variables to create and look at the scatterplot.
What did you use as the explanatory and response variables?
One answer will not be used.
Draggable item
arrow_right_alt
Corresponding Item
Sleep
arrow_right_alt
Explanatory
Day of the week
arrow_right_alt
Response
Soda
arrow_right_alt
Required
4 points
4
Question 15
15.
Describe the relationship between Soda and Hours Slept in a complete sentence.
Use DOFS.
Ex. The relationship between...
Required
1 point
1
Question 16
16.
From #14 & 15, identify if the variables are categorical or quantitative:
Sleep
Soda
Quantitative
Categorical
Required
1 point
1
Question 17
17.
Use the information from #14.
What is the y-intercept of the least-squares regression line for this data?
Hint: the equation is already shown for you.
Be sure to include units, keep all the places past the decimal point.
Required
4 points
4
Question 18
18.
Use the value from #17, interpret the y-intercept in the context of the problem.
Hint: check your notes 2.5 & 2.6
Required
4 points
4
Question 19
19.
Interpret the meaning of r-squared = 0.613 in this setting.
Hint: Notes from Lesson 2.6 & 2.7
Required
2 points
2
Question 20
20.
The value of s for this data is s = 1.17.
Interpret this value in the context of this situation and tell what we are looking for.
Pick two answers.
Required
2 points
2
Question 21
21.
In a study of the relationship between the amount of violence a person watches on TV and the viewer's age, 81 regular TV watchers were randomly selected and classified according to their age group and whether they were a “low-violence” or “high-violence” viewer.
Below is a segmented bar graph.
For this sample, can we conclude there is an association between age group of the viewer and amount of violence watched?
How do you know? Select two answers.
Required
4 points
4
Question 22
22.
Using your answer to number 21 above, if there is an association, explain the relationship.
If there is no association then answer 'There does not appear to be an association'.
Required
8 points
8
Question 23
23.
Mrs. Nosal found some pull back cars and wanted to predict how far the cars could travel depending on the distance the car was pulled back from the start line before it was released.
To investigate this, she collected the following data:
Mrs. Nosal analyzed the data in statsmedic using a linear regression and a quadratic regression. She got the following outputs and residual plots:
Scatterplot:
Least Squares Regression Line:
Quadratic Regression:
In a paragraph answer: Which model is most appropriate and why?
Explain thoroughly. There are three things we have used to decide if a regression model is appropriate.
For full credit: when you explain your answer, make sure you describe what each thing tells about the regression equation.