Question

In: Statistics and Probability

A statistical program is recommended. Consider the following data for two variables, x and y. x...

A statistical program is recommended.

Consider the following data for two variables, x and y.

x 9 32 18 15 26
y 11 20 22 17 22

(a) Develop an estimated regression equation for the data of the form ŷ = b0 + b1x. (Round b0 to two decimal places and b1 to three decimal places.)

ŷ =

Comment on the adequacy of this equation for predicting y. (Use α = 0.05.)

The high p-value and low coefficient of determination indicate that the equation is inadequate.The high p-value and high coefficient of determination indicate that the equation is adequate.    The low p-value and low coefficient of determination indicate that the equation is inadequate.The low p-value and high coefficient of determination indicate that the equation is adequate.

(b) Develop an estimated regression equation for the data of the form ŷ = b0 + b1x + b2x2. (Round b0 to two decimal places and b1 to three decimal places and b2 to four decimal places.)

ŷ =

Comment on the adequacy of this equation for predicting y. (Use α = 0.05.)

The high p-value and low coefficient of determination indicate that the equation is inadequate.The high p-value and high coefficient of determination indicate that the equation is adequate.    The low p-value and low coefficient of determination indicate that the equation is inadequate.The low p-value and high coefficient of determination indicate that the equation is adequate.

(c)

Use the model from part (b) to predict the value of y when x = 20. (Round your answer to two decimal places.)

Solutions

Expert Solution

Applying regression from excel: data-data analysis:

Coeff Std Error t Stat P-value
Constant -68.079 136.035 -0.500 0.6664
x1 0.816 1.402 0.582 0.6196
x2 0.491 0.309 1.590 0.253
df SS MS F p value
Regression 1 45.10 45.10 3.37 0.1635
Residual 3 40.10 13.37
Total 4 85.20

a)

y^ =11.01+0.370x

p value =0.1635

Coefficient of determination =SSR/SST =0.5294

The high p-value and low coefficient of determination indicate that the equation is inadequate.

b)

y^ =-6.94+2.419x-0.0494x2

The low p-value and high coefficient of determination indicate that the equation is adequate.

c)

predicted value =-6.94+2.419*20-0.0494*20^2 =21.68

(please try 21.66 if above comes wrong)


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