7 Battery life has a strong, negative, linear relationship with temperature If the least squares regression line using x temperature explains 90 of the variation in battery life, which of the following must be the correlation, r, between battery life and temperature (a) 0 90 (b) 0 90 (c) 0 95 (d) 0 95 (e) cannot be determined without the original data 8 A random sample of households is taken For each household, the number of hours spent watching television and the power consumption (in kWh) during a day are recorded The table below shows computer output from a linear regression analysis on the data

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Question: 7.Battery life has a strong, negative, linear relationship with temperature. If the least squares regression line using x = temperature explains 90% of the variation

7.Battery life has a strong, negative, linear relationship with temperature. If the least squares regression line using x = temperature explains 90% of the variation in battery life, which of the following must be the correlation, r, between battery life and temperature?

(a) -0.90

(b) 0.90

(d) 0.95

(e) cannot be determined without the original data

8.A random sample of households is taken. For each household, the number of hours spent watching television and the power consumption (in kWh) during a day are recorded. The table below shows computer output from a linear regression analysis on the data.

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