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Exhibit 13-9
In a regression analysis involving 25 observations, the following estimated regression equation was developed.
=10 - 18X1+3X2+14X3
Also, the following standard errors and the sum of squares were obtained.
Sb₁ = 3 Sb2 = 6 Sb3 = 7
SST = 4,800 SSE = 1,296
-Refer to Exhibit 13-9. If you want to determine whether or not the coefficients of the independent variables are significant, the critical value of t statistic at ? = 0.05 is
Interpret
The process of explaining or providing the meaning of something, often applied to data analysis to derive conclusions or insights from data.
Variable
A variable is any characteristic, number, or quantity that can be measured or observed and can change across different situations or among individuals.
Assumption of Normality
The presumption that the data being analyzed is drawn from a normally distributed population, which is a common requirement for many statistical tests.
Distribution Shape
Describes the overall appearance of the data's frequency distribution, including characteristics like symmetry, skewness, and kurtosis.
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