Which of the following residual plots represents a good linear model?
1 point
1
Question 2
2.
The table below shows the number of hours students studied for a test and the grade each student received on the test.
Which is the linear regression equation for the hours studied, x, and test grade, y?
1 point
1
Question 3
3.
The table below shows the number of hours students studied for a test and the grade each student received on the test.
Using the regression equation, predict the test grade of a student that studied 2.5 hours? Round to the nearest whole number
1 point
1
Question 4
4.
The table below shows the number of hours students studied for a test and the grade each student received on the test.
Using the regression equation, predict the number of hours a student should study to make a 100 on the test? Round to the nearest tenth.
1 point
1
Question 5
5.
A professor at UNCA collected data on the number of students eating lunch in the cafeteria and the number of days since the school semester started. She calculated the correlation coefficient to be r = -0.87.
Which of the following statements is true?
1 point
1
Question 6
6.
The table below shows the U.S. average life expectancy at birth in various decades.
The linear regression equation for this data set is y = 0.208x+ 62.696. What is the residual for 1990?
Required
1 point
1
Question 7
7.
A study was conducted to examine the velocity in feet per second of the Columbia River
and how it relates to the depth of the water in feet. The scatterplot of these data is shown
below.
Which of the following best describes the relationship between depth of water and
velocity of the water.
Required
1 point
1
Question 8
8.
Lin collected data weekly for ice cream sales and soda sales in the cafeteria. She found the line of best fit and the correlation coefficient, as shown in the diagram.
Given this information, which statement(s) can correctly be concluded?
I. Eating more ice cream causes a person to become thirsty.
II. Drinking more soda causes a person to become hungry.
III. There is a strong correlation between ice cream sales and soda sales.
Required
1 point
1
Question 9
9.
The able below shows the math and verbal test scores of 10 students at a school.
When the best-fit linear model for this set of data is graphed, which conclusion will be best supported by the residuals?
Required
1 point
1
Question 10
10.
The table below shows the attendance at a festival each year since it first began in 2002.
Using a linear line-of-best-fit model, approximately what is the predicted attendance for the year 2012?
Required
1 point
1
Question 11
11.
Carla believes that the number of hours of video games a student plays is predictive of the student’s grade point average. Which value represents a correlation coefficient that would strongly support Carla’s belief?