Question 5: What is the p-value of this regression? Should we reject the null-hypothesis (regression is not significant)? Use your own words to interpret the result.
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- What can you say about SSE, SSR, and the utility of the regression equation for making predictions if a. r 2 = 1? b. r 2 = 0?I have a doubt when it comes to this reasoning : Imagine I have a variable that is correlated to Y and to X1 in a linear regression model. If I ommit it it will result in Omitted Variable Bias but if I include it, would it result in perfect multicolinearity and therefore for example a solution is to include control variables ? Is this right ? Thanks.The number of dollars a round trip plane ticket costs from North America to Europe is normally distributed with a mean of $1,780 and a standard deviation of $335. What is the probability a randomly selected ticket costs between $775 and $2,785? Enter your answer in decimal form. For example. 75% should be entered as 0.75
- With multiple regression, the null hypothesis for the entire model now uses the p test. True FalseSuppose that you perform a hypothesis test for the slope of the population regression line with the null hypothesis H0: β1 = 0 and the alternative hypothesis Ha: β1 ≠ 0. If you reject the null hypothesis, what can you say about the utility of the regression equation for making predictions?When is a variable in a regression statistically significant? 1 When p is more than alpha. 2 When p is more than R2. 3 When p is less than alpha. 4 When p is less than R2. 5 When p is less than the coefficient.
- 7A researcher is interested in examining the relationship between spousal abuse and child abuse. Specifically, they are interested in determining whether there is a predictive relationship between spousal abuse and child abuse in 5 county social services offices. Calculate the linear regression line for the following data. Note you have already calculated the first step to this analysis (Pearson's Correlation)In this section we introduced a descriptive measure of the utility of the multiple linear regression equation for making predictions.a. Dene and interpret this descriptive measure.b. Identify the symbol used for this descriptive measure.