Question

In: Statistics and Probability

Consider the following data for two variables, x and y. x 22 24 26 30 35...

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

x 22 24 26 30 35 40
y 13 20 34 35 40 36

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

ŷ =

(b)Use the results from part (a) to test for a significant relationship between x and y. Use α = 0.05.

Find the value of the test statistic. (Round your answer to two decimal places.)

F =

Find the p-value. (Round your answer to three decimal places.)

p-value =

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

ŷ =

(d)Use the results from part (d) to test for a significant relationship between x, x2,

and y. Use α = 0.05. Is the relationship between x, x2,and y significant?

Find the value of the test statistic. (Round your answer to two decimal places.)

test statistic=?

Find the p-value. (Round your answer to three decimal places.)

p-value =

(e) Use the model from part (c) to predict the value of y when x = 25. (Round your answer to three decimal places.)

predicted value=?

Solutions

Expert Solution

Analysis is performed using Minitab

(a)

Develop an estimated regression equation

Regression Equation

y   =   -5.9 + 1.207 x

b)

Find the value of the test statistic.

F = 6.44

Find the p-value. (Round your answer to three decimal places.)

p-value = 0.064

No, the relationship is not significant. because p-value = 0.057> 0.05 level of significance.

(c)

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

Now define X2 as x*x that is x2 and then build the regression model

x y x2
22 13 484
24 20 576
26 34 676
30 35 900
35 40 1225
40 36 1600

Regression Equation

y   =   -165.8 + 12.01 x - 0.1746 x2

d)

Analysis of Variance
Source DF Adj SS Adj MS F-Value P-Value
Regression 2 523.44 261.72 18.74 0.02
x 1 214.57 214.57 15.37 0.03
x2 1 174.71 174.71 12.51 0.038
Error 3 41.9 13.97
Total 5 565.33

Use the results from part (d) to test for a significant relationship between x, x2,

and y. Use α = 0.05. Is the relationship between x, x2,and y significant?

Find the value of the test statistic. (Round your answer to two decimal places.)

test statistic=18.74

p-value =0.020

since p-value =0.020 <α = 0.05 so we reject the null hypothesis and conclude that relationship between x, x2,and y is not significant.

(e) Use the model from part (c) to predict the value of y when x = 25. (Round your answer to three decimal places.)

y   =   -165.8 + 12.01*25 - 0.1746*252

y = 25.325


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