Question

the reter to data beloud which Contoins the a fa below which rLet c percantage chorge ) instuck mor ndx ouer tho hirst tive t
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Answer #1

Given,

Y = 12.1075 - 1.7687 X1

Source

DF

Sum of Squares Mean Square F Statistic P-value
Regression
(between ŷiand yi)

1

238.0704

238.0704

1.4850

0.2485

Residual
(between yiand ŷi)

11

1763.4496

160.3136

Total(between yiand yi)

12

2001.5200

166.7933

Coeff

SE t-stat lower t0.025(11) upper t0.975(11)

Stand Coeff

p-value

VIF

b 12.1075 3.5593 3.4016 4.2734 19.9415 0.000 0.005912
X1 -1.7687 1.4514 -1.2186 -4.9633 1.4258 -0.3449 0.2485 1.0000

R square (R2) equals 0.1189. It means that the predictors (Xi) explain 11.9% of the variance of Y.
Adjusted R square equals 0.03885.

The coefficient of multiple correlation (R) equals 0.3449. It means that there is a weak direct relationship between the predicted data (ŷ) and the observed data (y).

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