Question: he paper A Comparison Between Multiple Regression Models an CUNBAE Equation to Predict Body Fat in Adults used a multiple regression model to describe the

he paper "A Comparison Between Multiple Regression Models an CUNBAE Equation to Predict Body Fat in Adults" used a multiple regression model to describe the relationship between y = Percentage of body fat mass and three predictor variables. x1 = log of body mass index (log(kg/m2)) x2 = log of age (log(years)) x3 = sex (0 = male, 1 = female)

he estimated regression equation based on a sample of

n = 3,200

was

= 96.07 + 76.91x1 + 6.65x2 + 11.40x3.

Suppose

SSRegr = 900,000

and

SSresid = 150,000.

Is the model proposed useful? Carry out a test using a significance level of 0.10.Calculate the test statistic.

F =

Use technology to calculate the P-value. (Round your answer to four decimal places.)

P-value =

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