When you run a regression, you choose which variable is your Y variable and which variable(s) is/are your X variable(s). What does that decision represent? 1 A claim of causation.2 A failure to reject the null hypothesis.3 An attempt to find correlation.4 A desire to minimize RSS.5 None of these

Regression is the statistical tool that used for prediction. It used to find the relationship…

Answered: When you run a regression, you choose…

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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The personnel director of a large hospital is interested in determining the relationship (if any) between an employee’s age and the number of sick days the employee takes per year. The director randomly selects ten employees and records their age and the number of sick days which they took in the previous year. Employee 1 2 3 4 5 6 7 8 9 10 Age 30 50 40 55 30 28 60 25 30 45 Sick Days 7 4 3 2 9 10 0 8 5 2 Copy Data The estimated regression line and the standard error are given. Sick Days=14.310162−0.2369(Age) se=1.682207se=1.682207 Find the 95% confidence interval for the average number of sick days an employee will take per year, given the employee is 26. Round your answer to two decimal places.
The accompanying dataset shows the monthly number of new car sales in the last three years. Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting sales Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting sales, where December is the reference month. Units=enter your response here+(enter your response here)•Year+(enter your response here)•Jan+(enter your response here)•Feb+(enter your response here)•Mar+(enter your response here)•Apr+(enter your response here)•May+(enter your response here)•Jun+(enter your response here)•Jul+(enter your response here)•Aug+(enter your response here)•Sep+(enter your response here)•Oct+(enter your response here)•Nov (Round to the nearest integer as needed.) Month Year Units Jan 1 39,813 Feb 1 40,078 Mar 1 47,439 Apr 1 47,298 May 1 49,212…
Interpret the estimated education coefficient. Is the estimate of the constant statistically significant at the 5% level? Explain how you reached this conclusion. Imagine you want to test with an F-test whether the effect of married and nonwhite are jointly significantly different from zero. Write down the null and alternative hypothesis for such a test
In multiple regression testing of Ho: B1 = B2 = B3 = ... = BK = %3D %3D O at a = 0.05, a p-value of 0.08, would give an indication that: O the null hypothesis should not be rejected O all three independent variables have a slope of zero O the null hypothesis should be rejected O None of the Choices O there is linear relationship between y and any of the three independent variables I3D
It may be a concern that market value and assets are highly correlated and hence there may be a problem with including them both as explanatory variables. The following set of output is for the regression that excludes assets from the regression above. Based on this set of output, does it seem likely that assets and market value are highly correlated, and hence does it appear that multicollinearity is a problem? Explain how you know.
The correlation coefficient between midterm and final scores in a large statistics class is r=0.6. A scatterplot of the two variables is football shaped. A particular student has a midterm score that is 0.5 SDs below the average midterm score of all students. Using regression, we would predict that the student's final score is _________ SDs _________ the average final score of all students and therefore at the _________ percentile of final scores of all students.
After visiting the Titanic, Captain Brain and Mr. Pinky are taking the Alvin submarine back to the surface of the water. They start 1900 meters below the surface of the water, and ascend at 62 meters per hour.Note: under the water is a negative number.Write an equation to model this situation (use mm for meters and hh for hours)
From the parameter estimation output, which of the following is FALSE? Coefficients Standard Error t Stat p-value 0.783 0.0159 Intercept Diameter (mm) of granules of sand -2.476 -3.161 17.159 2.034 8.438 0.000065 For a one-unit increase in the independent variable, the predicted-y is decrease by – 2.476. The independent variable is significant. For a one-unit increase in the independent variable, the predicted-y is increase by 17.159. The predictor variable is significant.
The linear correlation between an independent (x) and dependent (y) variable A. Is the foundation for simple (bivariate) regression B. Does not indicate a causal relationship, though one might exist C. Can be direct, inverse, or nonexistent D. Can be used to predict the value of y for any observed value of x E. All of the above F. None of the above
When testing for bl in a regression model, the null hypothesis (2-tailed) is b1=0. Why? O Then the alternative hypothesis can be b0=1 This indicates that bl=b2 This indicates that bl=b0 A change in x does not result in a change in y
d the linear regression equation and the value of the linear correlation coefficient r. Round to 2 decimals. 19) The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands): Cost| 7 2 3 4 2 5 9 10 Number 85 52 55 68 67 80 83 73 to Cost r =
True or false? If the statement is false, use one or two sentences to justify your answer.

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1		A claim of causation.
2		A failure to reject the null hypothesis.
3		An attempt to find correlation.
4		A desire to minimize RSS.
5		None of these