What are some ideas for practice problems that use the regression equation?

how you will calculate the degrees of freedom in multiple linear regression and in simple linear regression?

What is regression R2 ? Explain both with formula and its meaning in a linear regression model? What does it mean if you have a low regression R2 ?

how to I solve a using single linear Regression in excel or any excel method? I am struggling to understand this question. Can please be very detailed about it, how you were able to do so and what you used to get these answers. I struggle to understand how to answer to this question below.   An agent for a real estate company in a suburb has the business objective of developing more accurate estimates of the monthly rental cost for apartments. The agent would like to use the size of an​ apartment, as defined by square footage to predict the monthly rental cost. The agent collects data from a sample of 30 ​one-bedroom apartments.  b. Construct a 95​% prediction interval estimate of the monthly rental for all​ one-bedroom apartments that is 810 square feet in size. _____≤μYX=810≤______(Type integers or decimals. Round to two decimal places as needed. Use ascending​ order.)

A 1 ROAA (%) Efficiency Ratio (%) 2 1.04 39.93 3 57.75 4 81.4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 0.68 7.27 1.08 0.72 0.92 0.79 1.04 1.76 1.07 1.37 0.93 0.66 1.72 1.5 0.59 2.12 1.11 1.45 1.06 B A 53.49 71.08 65.41 68.07 68.14 68.1 64.82 48.58 63.1 59.16 49.93 54.7 81.6 75.21 69.82 49.47 57.09 с Total Risk-Based Capital (%) 17.04 13.88 27.77 18.31 14.66 14.04 13.38 16.8 16.69 13.86 12 18.65 19.76 17.69 26.6 15.08 14.55 17.5 16.03 14.62 D E F G H |

what can go wrong and the caution that needs to be exercised when using regression models.

When you are deciding which variables to include as predictors in a multiple regression equation, what are some conditions that you must consider first?

Explain why all-subsets regression is considered superior to stepwise regression in selecting a regression equation.

What important guideline should you keep in mind when choosing independent variables for multiple regression?