![SOLVED: Consider the linear regression models. The p-values are shown in parenthesis. Model Y =123.2 + 0.89XI (0.0005) (0.00001) Y =40.1+0.14Xz + 0.61X; (0.003) (0.008) (0.0004) Y=-1.7+257XI - 1.78Xz (0.006) (0.1) (0.2) SOLVED: Consider the linear regression models. The p-values are shown in parenthesis. Model Y =123.2 + 0.89XI (0.0005) (0.00001) Y =40.1+0.14Xz + 0.61X; (0.003) (0.008) (0.0004) Y=-1.7+257XI - 1.78Xz (0.006) (0.1) (0.2)](https://cdn.numerade.com/ask_images/87957d556f0d4f37ac9993fe2c7aa523.jpg)
SOLVED: Consider the linear regression models. The p-values are shown in parenthesis. Model Y =123.2 + 0.89XI (0.0005) (0.00001) Y =40.1+0.14Xz + 0.61X; (0.003) (0.008) (0.0004) Y=-1.7+257XI - 1.78Xz (0.006) (0.1) (0.2)
![regression - Adjusted R Squared formula - why is it that it's lower when it shold be higher given the calculation? - Cross Validated regression - Adjusted R Squared formula - why is it that it's lower when it shold be higher given the calculation? - Cross Validated](https://i.stack.imgur.com/BTGK6.png)
regression - Adjusted R Squared formula - why is it that it's lower when it shold be higher given the calculation? - Cross Validated
![R-squared, Adjusted R-squared and Pseudo-R-squared – Time Series Analysis, Regression, and Forecasting R-squared, Adjusted R-squared and Pseudo-R-squared – Time Series Analysis, Regression, and Forecasting](https://timeseriesreasoning.files.wordpress.com/2022/05/image.png)