Part of an R output relating X (independent variable) and Y (dependent variable) is shown below. This analysis is based on 11 observations. Using what you know about how all of these values are related, fill in the remaining blanks. Round your answers to 4 decimals in Model Summary box. Round your answers to 2 decimals in the ANOVA table and beyond. Model Summary (4 decimal places each) RMSE R R-Squared Adj. R-Squared Pred. R-Squared Source Regression Residual ANOVA (2 decimal places each, where necessary) Sum of Squares Total X 0.515 Model (Intercept) 0.3632 1000 Parameter Estimates (2 decimal places each) Coef. Var. Beta df 5.7871 29.48 Std. Error Std. Beta 0.699 Mean Square -0.72 t F Sig. 3.79 0.0043 -3.091 0.0129 Sig 0.0129
Part of an R output relating X (independent variable) and Y (dependent variable) is shown below. This analysis is based on 11 observations. Using what you know about how all of these values are related, fill in the remaining blanks. Round your answers to 4 decimals in Model Summary box. Round your answers to 2 decimals in the ANOVA table and beyond. Model Summary (4 decimal places each) RMSE R R-Squared Adj. R-Squared Pred. R-Squared Source Regression Residual ANOVA (2 decimal places each, where necessary) Sum of Squares Total X 0.515 Model (Intercept) 0.3632 1000 Parameter Estimates (2 decimal places each) Coef. Var. Beta df 5.7871 29.48 Std. Error Std. Beta 0.699 Mean Square -0.72 t F Sig. 3.79 0.0043 -3.091 0.0129 Sig 0.0129
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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