Question: OLS Regression Results Dep. Variable: Exam4 R-squared: 0. 178 Model: OLS Adj. R-squared: 0. 125 Method: Least Squares F-statistic: 3. 329 Date: Sun, 18 Aug

OLS Regression Results Dep. Variable: Exam4 R-squared: 0. 178 Model: OLS

OLS Regression Results Dep. Variable: Exam4 R-squared: 0. 178 Model: OLS Adj. R-squared: 0. 125 Method: Least Squares F-statistic: 3. 329 Date: Sun, 18 Aug 2019 Prob (F-statistic) : 0. 0276 Time: 10 : 59:12 Log-Likelihood : -169.85 No. Observations : 50 AIC: 347.7 Of Residuals: 46 BIC: 355.4 Df Model: 3 Covariance Type: nonrobust coef std err t P>It| [0 . 025 0. 975] Intercept 46. 2612 10.969 4.217 0.000 24. 181 68 . 341 Exam1 0. 1742 0. 120 1. 453 0. 153 -0. 067 0. 416 Exam2 0. 1462 0. 078 1.873 0. 067 -0. 011 0. 303 Exam3 0. 0575 0.053 1. 085 0. 284 -0. 049 0 . 164 Omnibus : 0. 886 Durbin-Watson: 1. 530 Prob (Omni bus) : 0. 642 Jarque-Bera (JB) : 0. 738 Skew: 0. 290 Prob (JB) : 0. 691 Kurtosis : 2 . 868 Cond. No. 1.41e+03

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer

Step: 1 Unlock blur-text-image

Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock

Step: 3 Unlock

Students Have Also Explored These Related Mathematics Questions!

The statsmodels ols() method is used on an exam scores dataset to fit a multiple regression model using Exam4 as the response variable. Exam1, Exam2, and Exam3 are used as predictor variables. The...

OLS Regression Results Dep. Variable: mpg R-squared: 0. 831 Model : OLS Adj. R-squared: 0 . 818 Method : Least Squares F-statistic: 66.35 Date : Thu, 09 Jun 2022 Prob (F-statistic ) : 3.79e-11 Time :...

OLS Regression Results Dep. Variable: avg_pts R-squared : 0. 194 Model : OLS Adj. R-squared: 0. 191 Method : Least Squares F-statistic: 73.96 Date: Mon, 17 Oct 2022 Prob (F-statistic) : 1.65e-29 Time...

OLS Regression Results Dep. Variable: mpg R- squared: 0.816 Model: OLS Adj. R-squared: 0. 803 Method : Least Squares F-statistic: 59.92 Date : Mon, 01 Aug 2022 Prob (F-statistic) : 1. 18e-10 Time :...

The ols() method in statsmodels module is used to fit a multiple regression model using "Exam4" as the response variable and "Exam1", "Exam2", and "Exam3" as predictor variables. The output is shown...

1:57 7 OneDrive Done Module Six Discussion Module Six Discussion: Multiple Regression This notebook contains the step-by-step directions for your Module Six discussion. It is very important to run...

Can the following questions be addressed? Please: 1.You developed a scatterplot of miles per gallon against weight; check to make sure it was included in your attachment. Does the graph show any...

The random sample will be drawn from a CSV file. This data will be unique to you, and therefore your answers will be unique as well. Run Step 1 in the Python script to generate your unique sample...

In your initial post, address the following items using the pictures of all python scripts attached to this question Step 1: Generating cars dataset This block of Python code will generate the sample...

Question 1 {3 points) mu Suppose a multiple regression model is fitted into a variable called model. Which Python method below returns residuals for a data set based on a multiple regression model?...

Given the information provided in Fig. 4.113, determine: (a) RC. (b) RE. (c) RB. (d) VCE. (e) VB. 12 V 2 mA Rc 7.6 V 24 V

Why might the use of ideal standards in applying the cost-plus approach to product pricing lead to setting product prices that are too low? Discuss.

employee benifits are: precribed by fedral law, prescribed by state law

QUESTION 33 Steve decides to recruit 30 participants to a focus group about pay and benefits in his company. Choose the best response below that describes this situation. Pay and benefits should...

Population

The feeling of boredom.

2. In this chapter, the reader should reflect on the following concepts: