A pilot study was performed to investigate the effect of temperature, x (in degree Fahrenheit) on the electrical power consumed, y (in Watt) by an automotive factory. Other factors were kept constant and the data were collected from the study. The summary of the data are given as follows: n = 8, ) x = 401, y = 2301, = 22495 666509, xy = 118652. = (i) Compute the equation of the least squares regression line of y on x. Interpret the equation obtained in part (i). (iii) Predict the power consumption for a temperature of 65'F. (iv) Compute the coefficient of determination and explain. (ii)

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A pilot study was performed to investigate the effect of temperature, x (in degree
Fahrenheit) on the electrical power consumed, y (in Watt) by an automotive factory.
Other factors were kept constant and the data were collected from the study. The
summary of the data are given as follows:
n = 8, 2x = 401,
2301, x?
= 22495
2y? = 666509,
Σ
> xy = 118652.
%3D
Compute the equation of the least squares regression line of y on x.
Interpret the equation obtained in part (i).
Predict the power consumption for a temperature of 65°F.
(i)
(ii)
(iii)
(iv)
Compute the coefficient of determination and explain.
Transcribed Image Text:A pilot study was performed to investigate the effect of temperature, x (in degree Fahrenheit) on the electrical power consumed, y (in Watt) by an automotive factory. Other factors were kept constant and the data were collected from the study. The summary of the data are given as follows: n = 8, 2x = 401, 2301, x? = 22495 2y? = 666509, Σ > xy = 118652. %3D Compute the equation of the least squares regression line of y on x. Interpret the equation obtained in part (i). Predict the power consumption for a temperature of 65°F. (i) (ii) (iii) (iv) Compute the coefficient of determination and explain.
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