A regression result of y = Bo + B1x1 + ɛ is given in the below plot, where y is Sales, and x, is TV. What are estimated Bo, ß1 values? 0 50 100 200 300 TV Sales 15
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- Consider the regression model CEOSAL = 2.5 + 0.5 * sales – 0.1 * sales 2Note that salesl 2 = sales*sales. What is the effect of an increase from 1 to 2 in sales on CEOSAL?The table below shows the prediction results from Logistic Regression, which gives results in the range 0 − 1, find the TP, TN, FP, FN, TPR, and FPR for each threshold from 0.1 to 0.9The following data give the starting salary for students who recently graduated from a local university and accepted jobs soon after graduation. The starting salary, grade-point average (GPA), and major (business or other) are provided. SALARY $29,500 $46,000 $39,800 $36,500 GPA 3.1 3.5 3.8 2.9 Major Other Business Business Other SALARY $42,000 $31,500 $36,200 GPA 3.4 2.1 2.5 Major Business Other Business Using a computer, develop a regression model that could be used to predict a starting salary based on GPA and major. Use this model to predict the starting salary for a business major with a GPA of 3.0. What does the model say about the starting salary for a business major compared to a non-business major? Do you believe this model is useful in predicting the starting salary? Justify your answer, using the information provided in the computer output.
- Python Regression Model 1: train MSE = 0.423, test MSE = 0.978 Model 2: train MSE = 0.572, test MSE = 0.644 Model 3: train MSE = 0.218, test MSE = 1.103 Based on this information, which of these models generalises the best to unseen data?In bivariate regression, the regression coefficient will be equal to rXY when:Make a time series analysis about the data in table below. Make 2 or more regression models by using stata!
- Q3: Train a regression model based on the first 200 rows. What is reg.intercept_ value ?The difference between Linear Regression and Logistic Regression. Note: Please make in table and with your own wordTo see how accurate your trend line is, right click the line and select Describe Trend Line. Tableau will show you the regression equation and the p-value for its overall significance. Group of answer choices True False
- When and why do we employ the Binomial, Poisson, and Proportional models of regression?When and why do we use the Proportional, Binomial, and Poisson regression modelsHow and why do each of these models include degrees of freedom?We want to train a binary Logistic Regression classifier for the given trainingdataset: