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In a research article, the authors mentioned that they used multiple regression

ID: 160037 • Letter: I

Question

In a research article, the authors mentioned that they used multiple regression to study whether a set of explanatory variables, gender, weight, age, are strongly related to a response variable, blood pressure. The results of their analysis were presented with a set of p-values for testing regression coefficients equal to zero or not in the following table. [There may be more than one correct answer.]

a)The result indicates that Gender is significantly related to the blood pressure at 10% level of significance.

b)The result indicates that Age is not significantly related to the blood pressure at 5% level of significance.

c)The result indicates that Gender is significantly related to the blood pressure at 5% level of significance.

d)The result indicates that Weight is significantly related to the blood pressure at 1% level of significance.

e)The result indicates that Weight is not significantly related to the blood pressure at 5% level of significance.

Predictor variables p-value Gender .090 Weight .008 Age .036

Explanation / Answer

d)The result indicates that Weight is significantly related to the blood pressure at 1% level of significance.

1% level of significance means 1/100 =0.01

The p-value for weight = 0.008

0.008<0.01

So weight is significant at 1% level of significance.

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