This scatterplot shows data on a sample of 20 toddlers observed over several months at a nursery school. Can you predict how many calories a child consumes based on how long they remain at the lunch table? “Time” is the average number of minutes a child spent at a table when lunch was served. “Calories” is the average number of calories consumed by the child during lunch. The least squares regression equation is: calories = 560.65125 – 3.0770733 × time. 1. What is the predicted number of calories consumed for a child who spends 40 minutes at the table? 437.6 calories 123.1 calories 548.3 calories
Calories =560.65125 - 3.0770733Time
When time = 40 min
Predicted calories = 560.65125 - 3.0770733*40 = 437.6
Answer: 437.6 calories
This scatterplot shows data on a sample of 20 toddlers observed over several months at a...
1)
Data was gathered from several professional golfers in order to
determine if there is a relationship between average driving
distance (in yards) and accuracy (in percentage). This data is
presented in the scatterplot below. Suppose we go on to compute the
correlation coefficient, r. In this example, the units of r would
be what?
A. There are no units
B. Yards
C. Percentage
D. Yards per percentage
E. Percentage per yard
2. In a study of academic achievement within...
(a) The director of an alumni association for a university wants to look at the relationship between the number of years since graduation and the amount of monetary contribution an alumnus makes to the university. He collects data on 50 alumni who have made contributions this year. The number of years since graduation has a mean of 7, and the amount of contribution has a mean of 195 dollars. Based on the least squares regression line fitted to the data,...
< webwork / stab22119 / homework6 / 4 Homework6: Problem 4 Previous Problem List Next (a) The director of an alumni association for a university wants to look at the relationship between the number of years since graduation and the amount of monetary contribution an alumnus makes to the university. He collects data on 50 alumni who have made contributions this year. The number of years since graduation has a mean of 5, and the amount of contribution has a...
Run a regression analysis on the following data set, where y is the final grade in a math class and x is the average number of hours the student spent working on math each week. hours/week Grade х у 4 41.6 4 54.6 8 68.2 8 73.2 8 66.2 11 63.4 11 70.4 11 80.4 13 71.2 16 85.4 State the regression equation y = mx + b, with constants accurate to two decimal places. What is the predicted value...
What is the relationship between the number of minutes per day a woman spends talking on the phone and the woman's weight? The time on the phone and weight for 9 women are shown in the table below. 28 15 Time Pounds 68 149 22 100 64 124 57 143 67 141 101 77 126 68 127 100 0 a. Find the correlation coefficient: r = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are:...
Question 1 Which of the following choices best describes the scatterplot shown below? Group of answer choices Linear, negative, strong No form, weak Linear, positive, strong Curved, weak Question 2 Which of the following choices is most likely to be the correlation of the data in the scatterplot shown below? Group of answer choices -0.14 1.04 0.86 -0.92 Question 3 Most roller coasters get their speed by dropping down a steep initial incline, so it makes sense that we can...
Check your skills CHECK YOUR SKILLS 5.20 Figure 5.10 is a scatterplot of school GPA against 1Q test scores for 15 seventh-grade students. The line is the least-squares regression line for predict- ing school GPA from IQ score. If another child in this class has IQ score 110, you predict the school GPA to be close to y (in cubic feet) to heat the home and outside tem perature x (in degree-days, where a day's degree-days are the number of...
Check your skills CHECK YOUR SKILLS 5.20 Figure 5.10 is a scatterplot of school GPA against 1Q test scores for 15 seventh-grade students. The line is the least-squares regression line for predict- ing school GPA from IQ score. If another child in this class has IQ score 110, you predict the school GPA to be close to y (in cubic feet) to heat the home and outside tem perature x (in degree-days, where a day's degree-days are the number of...
What can predict how much a motion picture will make? The statistics computed below use data from a number of recent releases that includes the USGross (in S), the Budget ($), the Run Time (minutes), and the average number of stars awarded by reviewers. Complete parts a and b below. 囲 Click the icon to view a subsample of data on recent movie releases. l Click the icon to view the regression statistics. a) What is the R2 for this...
QUESTION 2 Following scatter plot represents a sample of paired X and Y values. Which of the listed values of the linear correlation coefficient r is most likely to represent the given scater plor? r= -0.711 r= 0.667 r= 0.099 r= -0.018 and submit. Click SSare All Anscers to suce all ansers 13 14 Find the 99% confidence interval for the mean time it takes for conducting a job interview for a position of a retail associate in a supermarket...