Given below are results from the regression analysis where the dependent variable is the number of weeks a worker is unemployed due to a layoff (Unemploy) and the independent variables are the age of the worker (Age) and adummy variable for management position (Manager: 1= yes, 0 = no). The results of the regression analysis are given below.E Click the icon to view the results.Determine whether the following statement is true or false: The null hypothesis should be rejected at a 10% level of significance when testing whether there is a significant relationship between the number of weeks a worker isunemployed due to a layoff and the entire set of explanatory variables....TrueRegression StatisticsFalseRegression StatisticsMultiple R0.6391R Square0.4085Adjusted R Square0.3765Standard Error18.8929Observations40ANOVAdfMSSignificance FRegression29119.08974559.544812.77400.0000Residual3713206.8103356.9408Total3922325.9CoefficientsStandard Errort StatP-valueIntercept-0.214311.5796-0.01850.9853Age1.44480.31604.57170.0000Manager-22.576111.3488-1.98930.0541

Answered: Given below are results from the…

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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In a dataset, X is the independent variable, and Y is the dependent variable. Which of the following statement is correct? None of these Regression between X and Y determines the nature of the relationship between the variables. Regression between X and Y determines whether there exists any relationship between the variables. Correlation between X and Y determines the nature of the relationship between the variables.
A county real estate appraiser wants to develop a statistical model to predict the appraised value of houses in a section of the county called East Meadow. One of the many variables thought to be an important predictor of appraised value is the number of rooms in the house. Consequently, the appraiser decided to fit the simple linear regression model, y = b₁x + bowhere y = appraised value of the house (in $thousands) and x = number of rooms. Using data collected for a sample of n=74 houses in East Meadow, the following results were obtained: y=74.80+ 17.80x Give a practical interpretation of the estimate of the slope of the least squares line. For each additional room in the house, we estimate the appraised value to increase $74,800. 1000 For each additional dollar of appraised value, we estimate the number of rooms in the house to increase by 17.80 rooms. For a house with 0 rooms, we estimate the appraised value to be $74,800. For each additional room in the house, we estimate the…
Which statement is not correct for multiple regression model? When we interpret this categorical variable, we would say the change we observe when one switches from the reference category to the specific category. The reference category will not be displayed in our model results. If we include a categorical variable with more than two values (e.g., religion) as an independent variable, we want to include a dummy variable for all categories except for two. We can include more than two categorical variables in the model. The value of the independent variable not included in the model is called "reference category."
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R3
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 4 6 7 8 10 5 30 50 40 30 28 Age 55 60 25 30 45 Sick Days 7 4 3 9 10 8 5 2 Copy Data The estimated regression line and the standard error are given. Sick Days 14.310162 – 0.2369( Age Se = = 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. 2.
A researcher predicts that gender (male and female) and race (race 1, race 2 and race 3) are factors which determine the willingness of a person to get involved in politics. He plan to use a multiple regression test to analyse his data. Is the multiple regression test appropriate for the study? Elaborate on your answer.
a. Estimate the regression line and also write the prediction equation. y = 83.4578-5.8795 x y = 5.8795 + 83.4578 x ŷ ŷ= = -5.8795 + 83.4578 x = 83.4578 + 5.8795 x
To properly examine the effect of a categorical independent variable in a multiple linear regression model we use an interaction term. True O False
q13
The statistic used to test whether individual regression coefficients are different from zero in the population is: Select one: a. F O b. b Oc. R2 O d. t Clear my choice

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