Calculate and test hypotheses for given data

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Reference no: EM13827675

Problem-

Yi

X1i

X2i

X3i

X4i

0.076

0.022

0.048

0.027

0.042

0.227

1.111

0.15

0.136

0.152

0.041

0.003

0.027

0.024

0.076

0.063

0.06

0.041

0.056

0.037

0.077

0.004

0.052

0.012

0.08

0.032

0.007

0.018

0.052

0.047

0.281

0.452

0.205

0.194

0.165

0.047

0.006

0.024

0.027

0.025

0.174

0.043

0.123

0.063

0.117

0.127

0.062

0.098

0.039

0.105

0.066

0.03

0.054

0.246

0.287

0.047

0.044

0.026

0.023

0.017

0.122

0.087

0.075

0.083

0.094

0.004

0.095

0.109

0.057

0.004

0.116

0.164

0.065

0.003

0.043

0.416

0.347

0.187

0.086

0.143

0.09

0.004

0.043

0.11

0.073

0.15

0.074

0.113

0.061

0.099

0.136

0.261

0.094

0.064

0.078

0.137

0.025

0.073

0.092

0.132

0.229

0.058

0.128

0.18

0.139

0.12

0.346

0.067

0.039

0.046

Consider the data, set in the above table to estimate the regression model

Yi = β0 + βlX1i + β2X2i + β3X3i + β4X4i + εi

a. Compute b0, b1, b2, b3 and b4.

b. Compute the predicted values for Yi{Yt).

c. Compute Se(b0), Se(b1), Se(b2), Se(b3) and Se(b4).

d. Plot the residuals (ei) against X1i and then against Yi

e. Test the hypothesis H0: β1 = 0 against H1: β1 ≠ 0 at 5% significance level.

f. Test the hypothesis H0: β4 = 1 against H1: β4 ≠ 1 at 1% significance.

g. Compute the coefficient of determination R2 and Adjusted - R2

h. Test the hypothesis that H0: β1 = β2 = β3 = β4 = 0 against the H1: H0 is not true at 1% significance level.

i. Test the hypothesis that H0: β1 = β2 = β3 = 0 against the H1: H0 is not true at 5% significance level.

j. Test the hypothesis that H0: β1 = β2 = 0 against the H1: H0 is not true at 1% significance level.

Additional information-

The question related to Basic Statistics and it discuss about establishing and calculating null hypotheses given in the question.

Reference no: EM13827675

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