Observations are taken on sales of a certain mountain bike in 25 sporting goods stores. The regression model was Y= total sales(thousands of dollars), X1 = display floor space (square meters), X2 = competitors' advertising expenditures (thousands of dollars), X3 =advertised price (dollars per unit).(a) Fill in the values in the table given here. (Negative values should be indicated by a minus sign. Leave no cells blank - be certainto enter "O" wherever required. Round your t-values to 3 decimal places and p-values to 4 decimal places.)PredictorInterceptFloorSpaceCompeting AdsCoefficient1,219.0p-valuetcalc3.46SE351.9.002011.0021.746.32.0001-6.0213.932-1.51467 8Price-0.149440.08582-1.71020(b-1) What is the critical value of Student's tin Appendix D for a two-tailed test at a = .01? (Round your answer to 3 decimal places.)t-value =

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Answered: Observations are taken on sales of a…

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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I’m taking a statistics and probability class. Please get this correct because I want to learn. I have gotten wrong answers on here before
The table shows the average weekly wages (in dollars) for state government employees and federal government employees for 8 years. The equation of the regression line is y = 1.452x - 53.294. Complete parts (a) and (b) below. Average Weekly Wages (state), x Average Weekly Wages (federal), y 748 780 790 820 838 880 919 948 1008 1052 1112 1151 1200 1242 1280 1293 (a) Find the coefficient of determination and interpret the result. (Round to three decimal places as needed.) How can the coefficient of determination be interpreted? The coefficient of determination is the fraction of the variation in average weekly wages for V that can be explained by the variation in average weekly wages for V and is represented by V The remaining fraction of the variation, is unexplained and is due to other factors or to sampling error. (b) Find the standard error of estimate s, and interpret the result. Se = (Round to two decimal places as needed.) How can the standard error of estimate be interpreted? The…
Ariel was running analyses over and over in census data and came across a correlation between weight and debt (r=.78). Independent variable is weight and dependent variable is debt. b) Curious Ariel noted some statistics on these weight (M=160lb, SD=15lb) and debt (M=196k, SD=20k). If Ariel wanted to calculate a regression equation, what would her slope and intercept be?
In a fisheries researchers experiment the correlation between the number of eggs in tge nest and the number of viable (surviving ) eggs for a sample of nests is r=0.67 the equation of the regression line for number of viable eggs y versus number of eggs in the nest x is y =0.72x + 17.07 for a nest with 140 eggs what is the predicted number of viable eggs ?
The accompanying table shows results from regressions performed on data from a random sample of 21 cars. The response (y) variable is CITY (fuel consumption in mi/gal). The predictor (x) variables are WT (weight in pounds), DISP (engine displacement in liters), and HWY (highway fuel consumption in mi/gal). Which regression equation is best for predicting city fuel consumption? Why? E Click the icon to view the table of regression equations. Choose the correct answer below. O A. The equation CITY = 6.65 - 0.00161WT + 0.675HWY is best because it has a low P-value and the highest adjusted value of R2. O B. The equation CITY = 6.83 - 0.00132WT - 0.253DISP + 0.654HWY is best because it has a low P-value and the highest value of R?. OC. The equation CITY = 6.83 - 0.00132WT - 0.253DISP + 0.654HWY is best because it uses all of the available predictor variables. O D. The equation CITY = - 3.14 + 0.823HWY is best because it has a low P-value and its R2 and adjusted R? values are comparable to…

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