1. In the dataset, we have = 1000 observations and fit the regression model y=+32 The regression results are mained in t

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1. In the dataset, we have = 1000 observations and fit the regression model y=+32 The regression results are mained in t

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1 In The Dataset We Have 1000 Observations And Fit The Regression Model Y 32 The Regression Results Are Mained In T 1
1 In The Dataset We Have 1000 Observations And Fit The Regression Model Y 32 The Regression Results Are Mained In T 1 (24.68 KiB) Viewed 26 times
1. In the dataset, we have = 1000 observations and fit the regression model y=+32 The regression results are mained in the following Call: In (formala - y - x) Residuals: Min 10 Median 30 -2.86197 -0.66825 -0.01337 0.68356 2.97988 Coefficients: Estimate Std. Error t-value Pr (>it) (Intercept) 2.95894 0.04267 69.35 (2-16 2.04871 0.02922 2e-16 *** Signif. codes: O... 0.001 0.01 0.05 0.11 Residual standard error: 0.9694 on 998 degrees of freedom Multiple R-squared: 0.8313. Adjusted R-squared: 0.8311 Analysis of Variance Table Response y Dr Sun-Sq Mean-S4 P-value 1 46207 (2) (4) Residuals 998 937.9 (3) Pr>F) < 2.2e-16 ... Signif. code: '...' 0.001'..' 0.01 0.05 0.1'' 1 1 1. Write down the fitted to pression model 2. Find the value in the blank (1) ? (Write down the detail) 3. Find values in blanks (2), (3) 4. Compute results in (4). (Write down the detail)
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