Question

A regression was run to determine if there is a relationship between hours of TV watched...

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).

The results of the regression were:

y=ax+b
a=-1.276
b=24.302
r2=0.779689
r=-0.883



Use this to predict the number of situps a person who watches 3 hours of TV can do (to one decimal place)

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A regression was run to determine if there is a relationship between hours of TV watched...
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-0.623 b=37.26 r2=0.386884 r=-0.622 Use this to predict the number of situps a person who watches 11.5 hours of TV can do (to one decimal place)
1. A regression analysis was performed to determine if there is a relationship between hours of...
1. A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (xx) and number of sit ups a person can do (yy). The results of the regression were: y=ax+b a=-1.072 b=31.456 r2=0.859329 r=-0.927 Use this to predict the number of sit ups a person who watches 8 hours of TV can do, and please round your answer to a whole number. 2. The table below shows the number of state-registered automatic...
19 A regression was run to determine if there is a relationship between hours of TV...
19 A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.082 b=36.749 r2=0.6889 r=-0.83 Use this to predict the number of situps a person who watches 7 hours of TV can do (to one decimal place) 18 The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern...
1. You want to obtain a sample to estimate a population proportion. At this point in...
1. You want to obtain a sample to estimate a population proportion. At this point in time, you have no reasonable estimate for the population proportion. Your would like to be 99.9% confident that you estimate is within 4% of the true population proportion. How large of a sample size is required? n = 2. A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (xx) and number of sit ups...
A regression was run to determine if there is a relationship between the happiness index (y)...
A regression was run to determine if there is a relationship between the happiness index (y) and life expectancy in years of a given country (x). The results of the regression were: y=a+bx a=-1.921 b=0.058 r2=0.753424 r=0.868 (a) Write the equation of the Least Squares Regression line of the form y= + x (b) If a country increases its life expectancy, the happiness index will increase decrease (c) If the life expectancy is increased by 3 years in a certain...
A regression was run to determine if there is a relationship between the happiness index (y)...
A regression was run to determine if there is a relationship between the happiness index (y) and life expectancy in years of a given country (x). The results of the regression were: y=a+bx a=0.331 b=0.11 r2=0.405769 r=0.637 (a) Write the equation of the Least Squares Regression line of the form y= + x (b) If a country increases its life expectancy, the happiness index will increase decrease (c) If the life expectancy is increased by 1.5 years in a certain...
A regression was run to determine if there is a relationship between the happiness index (y)...
A regression was run to determine if there is a relationship between the happiness index (y) and life expectancy in years of a given country (x). The results of the regression were: y=a+bx a=0.13 b=0.198 r2=0.436921 r=0.661 (a) Write the equation of the Least Squares Regression line of the form y= + x (b) If a country increases its life expectancy, the happiness index will decrease increase (c) If the life expectancy is increased by 2.5 years in a certain...
1. A nutritionist is looking at the connection between hours of TV watched and choice of...
1. A nutritionist is looking at the connection between hours of TV watched and choice of sugary snacks in children identified as at risk for obesity. He asks children to document the number of hours of TV they watch and the number of sugary snacks they eat each day as shown in the first three columns of the following table. Child Hours of TV watched (X) Number of sugary snacks eaten (Y) A 3 3 B 1 3 C 2...
10. In Exercise 6, we examined the relationship between years of education and hours of television...
10. In Exercise 6, we examined the relationship between years of education and hours of television watched per day. We saw that as education increases, hours of television viewing decreases. The number of children a family has could also affect how much television is viewed per day. Having children may lead to more shared and supervised viewing and thus increases the number of viewing hours. The following SPSS output displays the relationship between television viewing (measured in hours per day)...
The number of hours 6 students watched television during the weekend and the scores of each...
The number of hours 6 students watched television during the weekend and the scores of each students who took a test the following Monday are tabulated below. Note: X= hours watched, Y=test score a) find the prediction equation b) predict the test score for 2.5 hours of TV watching. 0-93 1-86 2-82 3-74 4-84 5-72