a) What is the equation for this model? b) What are the null hypothesis, alternative hypothesis, and the level of significance?c) What is the test statistic and the p-value? Certainly! Below is the transcription of the OLS Regression Results as it might appear on an educational website, with detailed explanations of the components:---### OLS Regression Results**Dependent Variable:** - **total_wins****Model Information:** - **Model:** OLS (Ordinary Least Squares)- **Method:** Least Squares- **Date:** Fri, 13 Oct 2023- **Time:** 09:43:01**Observations and Degrees of Freedom:** - **Number of Observations:** 618- **Degrees of Freedom Residuals:** 615- **Degrees of Freedom Model:** 2**Covariance Type:** - nonrobust**Summary of Results:**| | coef | std err | t | P>|t| | [0.025 | 0.975] ||----------------|----------|---------|---------|--------|------------|----------|| Intercept | -152.5736 | 4.500 | -33.993 | 0.000 | -161.411 | -143.736 || avg_elo_n | 0.1055 | 0.002 | 47.952 | 0.000 | 0.101 | 0.110 || avg_pts | 0.3497 | 0.048 | 7.297 | 0.000 | 0.256 | 0.444 |**Statistical Measures:**- **R-squared:** 0.837 Indicates that 83.7% of the variance in the dependent variable can be explained by the model.- **Adjusted R-squared:** 0.837 This value adjusts the R-squared for the number of predictors in the model.- **F-statistic:** 1580. This tests the overall significance of the model.- **Prob (F-statistic):** 4.41e-243 The probability that the observed F-statistic would occur by chance. A very low value indicates a significant model.- **Log-Likelihood:** -1904.6 A measure of model fit; higher values indicate a better fit.- **AIC (Akaike Information Criterion):** 3815. Used for model selection

Dep. Variable: Model: Method: Date: Time: No. Observations: Df Residuals: Df Model: OLS Regression Results total_wins R-squared: OLS Least Squares Fri, 13 Oct 2023 09:43:01 618 615 2 Adj. R-squared: Prob (F-statistic): F-statistic: Log-Likelihood: AIC: BIC: 0.837 0.837 1580. 4.41e-243 -1904.6 3815. 3829.

Dep. Variable: Model: Method: Date: Time: No. Observations: Df Residuals: Df Model: OLS Regression Results total_wins R-squared: OLS Least Squares Fri, 13 Oct 2023 09:43:01 618 615 2 Adj. R-squared: Prob (F-statistic): F-statistic: Log-Likelihood: AIC: BIC: 0.837 0.837 1580. 4.41e-243 -1904.6 3815. 3829.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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