## It is determined that the relationship between the number of rooms in a house and the…

It is determined that the relationship between the number of

rooms in a house and the number of kilowatt hours of electricity

consumed is as follows: Coefficients Standard Error t Stat P-value

Intercept 1.333333333 1.05586364 1.262789 0.242227 Rooms

0.666666667 0.11160826 5.973274 0.000333 22. If the value of the

coefficient of determination is .81, this means that: A. The value

of r = .9 B. The value of r = -.9. C. We cannot determine the value

of r for certain because both (.9)2 and (-.9)2 are equal to .81. D.

81% of the variation in Y is not explained. 23. Which of the

following statements is true about the variable “rooms”: A. A good

predictor of the value of kilowatt hours. B. A poor predictor of

the value of kilowatt hours. C. Not significant D. For each

additional room, the amount of electricity used increases by

1.33333333. 24. Which of the following statements is not true about

the intercept: A. It is an estimate of the amount of kilowatt hours

not explained by rooms. B. For each additional one unit increase in

rooms, kilowatt hours increases by 1.33333333. C. When the number

of rooms is 0, the kilowatt hours used is 1.33333333. D. It is the

point at which the regression line crosses the y axis.