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.

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