#28 The below table summarizes the number of running..

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Question

#28 Refer to this given to solve the following five questions. The below table summarizes the number of running hours per month (X) and the weight lost by individuals per year (Y).

Determine the correlation coefficient "r" and the equation of the regression Line 'û = a + bX' then answer the following questions. (Round your answers to two decimals)

1) The interpretation of the slope “b” is: *

a) If the number of running hours per month decreases by 9.27 hours, the weight lost by individuals per year will increase by 0.29 units.

b) If the number of running hours per month decreases by 1 hour, the weight lost by individuals per year will increase by 9.27 units.

c) If the number of running hours per month increases by 1 hour, the weight lost by individuals per year will increase by 0.29 units.

d) If the number of running hours per month decreases by 9.27 hours, the weight lost by individuals per year will increase by 0.39 units.

2) The regression line equation Ŷ = a + bX is: *

a) Ŷ = 9.72 + 0.39X

b) Ŷ = 9.27 + 0.29X

c) Ŷ = 9.41 + 0.23X

d) Ŷ = 9.41 - 0.69X

3) The dependent variable is:

a) The number of running hours per month

b) The weight lost by individuals per year

c) X

d) None of the above

4) The correlation coefficient (r) and its interpretation are: *

a) r = - 0.69, there is a strong negative relationship between X and Y

b) r = - 0.66, there is a strong negative relationship between X and Y

c) r = 0.66, there is a strong positive relationship between X and Y

d) r = 0.69, there is a strong positive relationship between X and Y

5) If an individual runs 10 hours per month (If X=10) , he will lose (Y ̂=?) *

a) 13.62 kg per year

b) 12.17 kg per year

c) 11.71 kg per year

d) 2.51 kg per year

Answer