A regression was run to determine if there is a relationship between hours of TV watched per day (x) and the number of sit-ups a person can do (y). The results were: y = a+bx b = -0.89 a = 23.65 r2 = 0.7038 If a person watches 14 hours of television a day, predict how many sit-ups he can do. What is the value of the correlation coefficient? Round to three decimal places.

y = 11.19 ; 0.839

Step-by-step explanation:

Given the following :

relationship between hours of TV watched per day (x) and the number of sit-ups a person can do (y)

y = a + bx ; comparing with the linear regression model function

y = predicted variable

a = intercept

b = slope or gradient

x = independent variable

b = -0.89 a = 23.65 r2 = 0.7038

Therefore, if a person watches for 14 hours per day, that is x = 14, the number of sit-ups he can do will be :

y = 23.65 + (-0.89)(14)

y = 23.65 - 12.46

y = 11.19

About 11 sit-ups.

If the r^2 value = 0.7038

Then the Coefficient of regression = r

Will be the square root of r^2

r = sqrt(r^2)

r = sqrt(0.7038)

r =0.8389278 = 0.839

i know the answer is 3

step-by-step explanation:

the answer is 9.8975

explanation:

when you multiply the "39.59" with the 25% it reduces it and shows its final discounted price. hope this !

step-by-step explanation: