Regression analysis p value
[DOC File]Simple Linear Regression Using Statgraphics
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Statgraphics reports the values of b1, , t, and the p-value for the test in the second, “Slope,” row of the Analysis Summary window. The results for the Eugene example are shown below. The p-value of 0.0000 for the estimated slope allows us to reject the null hypothesis, H0, and conclude that the data strongly suggests that X and Y are linearly related.
[DOC File]How to interprete the minitab output of a regression analysis:
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P-Value = 0.000. This tells us that the sample estimates of Pearson correlation of Day and Weight is -0.998 based on 14 observations. When test for significance, a low p-value rejects the null that rho=0 and we conclude that the sample estimates just did not come from the noise. There is a meaningful linear relationship between the two variables.
[DOC File]Regression and multiple comparisons
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The new alpha is used in all your tests (in our example, if one of our regressions had a p-value of 0.03, it would not be significant). Some people feel that this is an overly conservative approach, and rank their results in order of significance, and reduce each alpha progressively more: this is often called a layered Bonferroni technique. You will also see references to “controlling the ...
[DOC File]PE Ratio Regression - New York University
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b Weighted Least Squares Regression - Weighted by Market Cap PBV Ratio Regression Dependent variable: Price to Book (Market Value of equity/ Book value of equity)
[DOC File]SAS Regression Examples
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Test --Statistic--- -----p Value-----Shapiro-Wilk W 0.98154 Pr < W 0.0143. Kolmogorov-Smirnov D 0.046295 Pr > D >0.1500 . Cramer-von Mises W-Sq 0.051025 Pr > W-Sq >0.2500. Anderson-Darling A-Sq 0.473914 Pr > A-Sq 0.2436. Extreme Observations-----Lowest----- -----Highest-----Value Obs Value Obs-4.32214 4 1.95260 178-2.28462 159 2.07470 149-1.82678 135 2.27460 60-1.75020 96 2.68873 …
A Regression Analysis of Violent Crime Rates
The variable with the highest p-value in the 5-variable regression analysis is X2, the variable which represents the proportion of the population owning a firearm. X2’s p-value is 0.87107. We will delete this variable from our data, and conduct a regression analysis on the resulting 4-variable model. The 4-variable model is: Yi= α + β3Xi3 + β4Xi4 + β5Xi5 + β6Xi6 + εi. Below is a ...
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