1. Prepare a table and a chart comparing the wages of Males (1) to Females (0)2. Prepare a table and a chart comparing the Wages of Married (1) and Non-Married employees (0)3. Interpret the Regression Analysis results using Wages as Dependent Variable (Y) and Years of Education as IndependentVariable (X):a. Interpret Slope and State the relationship between Wages and Years of Educationb. State and Test the hypothesis for a significant relationship between Wages and Years of Education4. Interpret the Regression Analysis results using Wages as Dependent Variable (Y) and Age as Independent Variable (X):a. Interpret Slope and State the relationship between Wages and Ageb. State and Test the hypothesis for a significant relationship between Wages and Age5. Prepare a Table summarizing your regression results including Coefficients of Determination, and T statistics, and explain thedifferences in regression slopes. 1.X1X2X3X4X5X6X7X8KMX9X10X11 X122 Row Wage Industry Occupation Education South Non-white Hispanic GENDER Experience Married Age Union1 193882 498983 282194 836015 297366 502357 459768 3341192171610 3766411 2682012 2997713 3395914 1178015 1099731144557125331 511312112301.1 61341 61380 291178118414471.816121212181224310112011111112519143135.18330 5714416116128491517126116111331501741412063321816 176260.3.12145117 2213318 2199419 2939020 3213821 3000622 6857323 1769419161020112124182227144221130.37424936111224143161623241511.251.385210.Sheet1

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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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You were tasked to study the impact of advertising costs to the customer acquisition. To implement this, the quarterly data for the past 2 years was provided. Create a regression line that fits the data and justify if the said data fits the curve. | Advertising Costs ($) Quarter Additional Sales ($) Customers Q12020 1,900 124 20,290 Q22020 2,100 105 41,000 Q32020 2,500 150 49,500 Q42020 3,000 300 80,000 Q12021 3,000 200 83,200 Q22021 2,800 220 120,000 Q32021 3,300 315 161,000 Q42021 3,300 320 189,000
Jensen Tire & Auto is in the process of deciding whether to purchase a maintenance contract for its new computer wheel alignment and balancing machine. Managers feel that maintenance expense should be related to usage, and they collected the following information on weekly usage (hours) and annual maintenance expense (in hundreds of dollars). Weekly Usage Annual (hours) Maintenance Expense 18 21 15 26 25 34 33 41 37 51 22 35 29 37 36 43 45 56 43 44 a. Develop the estimated regression equation that relates annual maintenance expense (in hundreds of dollars) to weekly usage hours (to 3 decimals). Expense = +| Weekly Usage b. Test the significance of the relationship in part (a) at a 0.05 level of significance. Compute the value of the F test statistic (to 2 decimals). The p value is - Select your answer - What is your conclusion? - Select your answer c. Jensen expects the new machine to be used 30 hours per week. What is the expected annual maintenance expense in hundreds of dollars (to…
Suppose the Sherwin-Williams Company is interested in developing a simple regression model with paint sales (Y) as the dependent variable and selling price (P) as the independent variable. Complete the following worksheet and then use it to determine the estimated regression line. Sales Region i 1 2 3 4 5 6 7 8 9 10 Total Selling Price ($/Gallon) I; 15 13.5 16.5 14.5 17 16 13 18 12 15.5 151 Regression Parameters Slope (B) Intercept (a) Sales (x 1000 Gal) Yi 160 220 140 190 120 160 200 150 210 190 1,740 Estimations TiYi 2,400 2,970 2,310 2,755 2,040 2,560 2,600 2,700 2,520 2,945 25,800 ▼ x ₂² 225 182.25 272.25 210.25 289 256 169 324 144 240.25 2,312 In words, for a dollar increase in the selling price, the expected sales will Yi² 25,600 48,400 19,600 36,100 14,400 25,600 40,000 22,500 44,100 36,100 286,800 ▼ by gallons in a given sales region.
The General Aviation Manufacturers Association has reported annual flying hours and fuel consumption for airplanes with a single, piston-driven engine as listedin file XR15057. Data are in millions of flying hours and millions of gallons of fuel, respectively. Determine the linear regression equation describing fuel consumption as a function of flying hours, then identify and interpret the slope, the coefficient of correlation, and the coefficient of determination. At the 0.05 level of significance, could the population slope and the population coefficient of correlation be zero? Determine the 95% confidence intervalfor the population slope.(you can see file XR15057 from photo)
a) Give a practical interpretation of the y-intercept of the regression line. b) What is the best-predicted value for the median hourly wage gain for the fifteenth year of schooling? c) The actual wage gain for the fifteenth year of schooling was 14%. How close was the predicted wage gain present to the actual value, i.e. what is the residual?
Hello, the attached picture is the background information for the posted question. Thank you! 2e. Calculate the Rsq of the regression and interpret the Rsq.
Does more education lower a person’s level of prejudice? The number of years of education and the score on a prejudice test for ten people is given in the following table. Higher scores on the test indicate more prejudice. Years of Education: 12, 15, 14, 13, 18, 10, 16, 12, 10, 4Score of Prejudice Test: 1, 6, 2, 3, 2, 4, 1, 5, 5, 10 The regression equation is calculated to be y' = 10.5 - 0.532x. After conducting a hypothesis test, your decision is to reject the null hypothesis. Predict the value of y' when x=11. 10.5 4.645 1.945 0.749
Develop a scatter diagram between Risk of Stroke and Age. The scatter diagram should include a proper title, a solid trend line, axis titles, a regression equation, and the Coefficient of Determination (R –square). (Note: the dependent variable is usually in the y-axis and independent variable in the x-axis.) Risk of Stroke (%) Age Pressure Smoker (Yes=1) 12 57 152 0 24 67 163 0 13 58 155 0 56 86 177 1 28 59 196 0 51 76 189 0 18 56 155 1 31 78 120 0 37 80 135 1 15 78 98 0 22 71 152 0 36 70 173 1 15 67 135 1 48 77 209 0 15 60 199 0 36 82 119 1 8 66 166 0 34 80 125 1 3 62 117 0 37 59 207 1
Last years Data Management class decided to see if there was a relationship between the score (out of 10) a student got on the two-variable stats quiz, and their score (out of 30) on the unit test. Use the given data to Quiz Score Test Score 6 8 10 9 10 20 26 29 26 30 a) Calculate the correlation coefficient. b) Perform a linear regression.
onsider the following sample of production volumes and total cost data for a manufacturing operation. Production Volume(units) Total Cost($) 400 3,900 450 4,900 550 5,500 600 5,900 700 6,400 750 7,100 This data was used to develop an estimated regression equation, ŷ = 970.67 + 8.08x, relating production volume and cost for a particular manufacturing operation. Use ? = 0.05 to test whether the production volume is significantly related to the total cost. (Use the F test.) Set up the ANOVA table. (Round your p-value to three decimal places and all other values to two decimal places.) Sourceof Variation Sumof Squares Degreesof Freedom MeanSquare F p-value Regression Error Total Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value = What is your conclusion? Reject H0. We conclude that the relationship between production…
Restaurant Digest, a famous restaurant magazine writes that the amount of tips servers get in Florida is affected by several factors including the amount of bill, number of adult diners as well as kids and the income of the diners. Use the data below to answer the following questions: Find the multiple regression model. At a level of significance of 0.03, is there a significance relationship between the amount of tip and at least one of the independent variables? What is the likely amount of tip if a group of diners spend $40.33 and had an annual income of $81,000. The diners included 4 adults and 3 kids? What percent of the variation in amount of tip is accounted for by amount of bill, annual income, number of adults and kids? Customer Amount of Tip Amount of Bill Number of adult Diners Number of kids Annual Income 1 $ 7.00 $ 48.97 5 3 100000 2 $ 4.50 $ 28.23 4 3 80000 3…
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