A A A 2-333- 2A EEEE - 16 (43 ALLONG. Arrange Quick {}☆ Styles Paragraph Drawing Residual vs fitted plot: The data is randomly scattered, thus the data is homoscedastic Residuals vs Fitted 3580 W 121 S Residuals 4 2 0 -2 T O 0 8 que 10 008 0857 O 9.3 O 00⁰0 80 O 5 10 Fitted values Im(y x1 + x2 + x3 + x4 + x5 + x6 +x7+x8+x9+x10) ?i R < 15 W Shape Fill Shape Outline Shape Effects Notes OI F Find Replace Select Editing 09 모 HO
A A A 2-333- 2A EEEE - 16 (43 ALLONG. Arrange Quick {}☆ Styles Paragraph Drawing Residual vs fitted plot: The data is randomly scattered, thus the data is homoscedastic Residuals vs Fitted 3580 W 121 S Residuals 4 2 0 -2 T O 0 8 que 10 008 0857 O 9.3 O 00⁰0 80 O 5 10 Fitted values Im(y x1 + x2 + x3 + x4 + x5 + x6 +x7+x8+x9+x10) ?i R < 15 W Shape Fill Shape Outline Shape Effects Notes OI F Find Replace Select Editing 09 모 HO
A A A 2-333- 2A EEEE - 16 (43 ALLONG. Arrange Quick {}☆ Styles Paragraph Drawing Residual vs fitted plot: The data is randomly scattered, thus the data is homoscedastic Residuals vs Fitted 3580 W 121 S Residuals 4 2 0 -2 T O 0 8 que 10 008 0857 O 9.3 O 00⁰0 80 O 5 10 Fitted values Im(y x1 + x2 + x3 + x4 + x5 + x6 +x7+x8+x9+x10) ?i R < 15 W Shape Fill Shape Outline Shape Effects Notes OI F Find Replace Select Editing 09 모 HO
Definition Definition Statistical method that estimates the relationship between a dependent variable and one or more independent variables. In regression analysis, dependent variables are called outcome variables and independent variables are called predictors.
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