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- RegressionAges of 150 Rank and File Employees of ABC Financing Co. No. of employees Age (years) fx 18 - 22 19 23 27 27 - 28 - 32 35 33 37 40 38 42 29 N 150 Efx = %3D E fx X = X = Ans5. Interpreting dummy variables for multiple categories when the dependent variable is log(y) Consider the following estimated model, where the dependent variable is the log of the hourly wage: log (wage) 0.417 + 0.297 female + 0.053 married + 0.08 educ + 0.029 exper - 0.001 exper² + 0.032 tenure - 0.001 tenure² The coefficient of married implies that the so-called marriage premium is estimated to be about Suppose a regression model has different intercepts for seven groups or categories. Then to ensure the quality of the regression model, we need to include dummy variables in the model, an intercept.
- The Pearson s product moment correlation coefficient (r ) is derived by calculating the ratio of the _____________. between treatments variability / variability in X and Y separately variability in X and Y separately / the covariance of X and Y together between treatments variability / the total variability in the dataset the covariance of X and Y together / variability of X and Y separatelyID Gender Major Employ Age MBA_GPA BS GPA Hrs_Studying Works FT 1 1 No Major Unemployed 39 2.82 3.05 3 0 2 1 No Major Full Time 55 3.49 3.45 7 1 3 1 No Major Part Time 43 3.28 3.5 7 0 4 1 No Major Full Time 56 3.25 3.55 7 1 5 1 No Major Full Time 38 3.26 3.3 6 1 6 1 No Major Unemployed 54 2.87 3.05 4 0 7 1 No Major Full Time 30 3.16 3.35 6 1 8 1 No Major Full Time 37 3.4 3.35 6 1 9 1 No Major Part Time 38 2.84 3.05 3 0 10 1 No Major Full Time 42 3.72 3.7 7 1 11 1 No Major Part Time 52 3.22 3.5 7 0 12 1 No Major Full Time 35 3.44 3.55 7 1 13 1 No Major Full Time 37 3.65 3.9 8 1 14 1 No Major Full Time 53 3.02 3.3 6 1 15 1 No Major Part Time 51 3.03 3.25 6 0 16 1 No Major Full Time 40 3.8 3.8 8 1 17 1 No Major Full Time 33 3.23 3.5 7 1 18 1 No Major Part Time 53 3.26 3.5 7 0 19 1 No Major Full Time 43 3.53 3.75 8 1 20 1 No Major Unemployed 35 3.75 3.9 8 0 21 1 No Major Full Time 57 3.15 3.2 6 1 22 1 No Major Part Time 32 3.66 3.75 8 0 23 1 No…To test Ho: µ= 103 versus H,: µ# 103 a simple random sample of size n= 35 is obtained. Complete parts a through e below. Click here to view the t-Distribution Area in Right Tail. (a) Does the population have to be normally distributed to test this hypothesis? Why? A. No, because n2 30. B. Yes, because n2 30. C. Yes, because the sample is random. D. No, because the test is two-tailed. (b) If x = 99.8 and s = 5.9, compute the test statistic. The test statistic is to =. (Round to two decimal places as needed.)
- Assume that both populations are normally distributed. a) Test whether µ, > H, at the a = 0.10 level of significance for the given sample data. b) Construct a 90% confidence interval about u, - H2. Sample 1 Sample 2 n. 27 20 53 45.2 9.7 12.3 Click the icon to view the Student's t-distribution table. a) Perform a hypothesis test. Determine the null and alternative hypotheses. O A. Ho: H1 H2 O B. Ho: H1 > H2, H1: H1 H2 Determine the test statistic. t= (Round to two decimal places as needed.) Approximate the P-value. Choose the correct answer below. O A. P-value <0.01 O B. 0.01 < P-value < 0.05 OC. 0.05 < P-value < 0.10 O D. P-value 2 0.10 Should the hypothesis be rejected at the a = 0.10 level of significance? V the null hypothesis because the P-value is the level of significance. b) The confidence interval is the range from to (Round to two decimal places as needed. Use ascending order.)What type of data are required for Independent Variable (IV) and Dependent variable (DV) in ANOVA? Group of answer choices DV is continuous and IV is categorical DV is categorical and IV is categorical DV is categorical and IV is continuous DV is continuous and IV is continuous Type of data does not matter for ANOVAWhile rejecting H0 on a hypothesis test means that _______, measures of effect size tell you ______. how big an effect the treatment has; that the treatment has some effect that the treatment has some effect; how big an effect the treatment has that the treatment caused an increase; that the treatment caused a decrease d. that the treatment caused a decrease; that the treatment caused an increase
- As an engineer working for a water bottling company, you collect the following data in order to test the performance of the bottling systems. Assume the normal distribution. -including answers submitted in WebAssign.) Milliliters of Water in the Bottle 485 490 495 500 505 510 515 What is the mean (in milliliters)? 500 milliliters What is the standard deviation (in milliliters)? 8.3166 X milliliters Frequency What is the z value corresponding to 495 milliliters? z = -0.64209 x Referring to this table, determine the A value. A = 0.2389 x 8 12 22 35 20 13 12 Determine the probability that a bottle would be filled with more than 495 milliliters. probability=0.7389 ✓numerical analysis question/Create the exponential approximation curve in the form in the picture according to the points given below using the least squares method (use 4 decimal places after the comma).