Answer the following questions: 4.1) Interpret the coefficient value of the TV variable in the model. 4.2) Predict the literacy rate for a country that has 200 daily newspaper copies (per 1000 in the population), 800 radios (per 1000 in the population), and 250 TV sets (per 1000 in the population). Show a detailed solution to support your answer.
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- The following equation explains weekly hours of television viewing by a child in terms of the child's age, mother's education, father's education, and number of siblings: tvhours* = Bo + B1age + B2age? + B3motheduc + Bafatheduc + B5sibs + u We are worried that tvhours* is measured with error in our survey. Let tvhours denote the reported hours of television viewing per week. (a) What do the classical errors-in-variables (CEV) assumptions require in this application? (b) Do you think the CEV assumptions are likely to hold? Explain.A researcher wonders whether males get paid more, on average, than females at a large firm. She interviews 50 employees and collects data on each employee's hourly wage (Wage in $). years of higher education (EDUC), years of experience (EXPER), age (Age). and a Male dummy variable that equals 1if male, O otherwise. A portion of the data is shown in the accompanying table. EXPER Wage 39.98 23.71 EDUC Age 40 Male 6 39 19.63 11 64 Click here for the Excel Data File a. Estimate: Wage = Po +PEDUC + PEXPER + PAge + PaMale + e. (Negative values should be Indicated by a minus sign. Round your answers to 4 decimal places.) Predicted Wage EDUC EXPER Age Male b. Predict the hourly wage of a 40-year-old male and female employee with 10 years of higher education and 5 years experience. (Round coefficient estimates to at least 4 decimal places and final answer to 2 decimal places.) 40-yoar-old male 40-year-old fermale Predicted Wage per hour per hour c-1. Interpret the estimated coefficient for…A study was developed to evaluate effectiveness of a weight loss diet plan. An ad was placed in two towns to locate study participants who were to follow the diet. In Town A, the clinicians asked each dieter to report how much weight they had lost over the previous 6 weeks while following the diet. In Town B, the clinicians weighed each dieter at the beginning of the study and again after 6 weeks on the diet program. The weight lost was calculated as the difference between the beginning weight and the weight after 6 weeks. At the end of the study, it was determined that Town B had lost significantly less weight than Town A. 1.What is the population of interest in this situation? 2. Identify source(s) of bias in this study.
- The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.5 8.6 6.9 3.4 2.3 2.7 2.4 0.5 14 11.3 9.7 6.9 6.1 6.5 5.9 4.8 thousands of automatic weapons = murders per 100,000 residents 0.84x + 4.13. Use this equation to answer the following; This data can be modeled by the equation y Special Note: I suggest you verify this equation by performing linear regression on your calculator. A) How many murders per 100,000 residents can be expected in a state with 1.1 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 7.1 thousand automatic weapons? Answer Round to 3 decimal places. %3DIs at least one of the two variables (weight and horsepower) significant in the model?1. ARVA teachers were discussing how many pull-ups they can do. Mr. Leppold claims he can do 3 more pull-ups than Mr. Will. Mrs. Crump says she can do 5 more than Mr. Leppold. a. Write an equation for how many pull-ups each teacher can do, using variables (L for Mr. Leppold, W for Mr. Will, C for Mrs. Crump): L = C = W = b. Make an equation for the number of pull-ups for Mr. Will using the variable C: W = c. If Mr. Leppold can do 18 pull-ups, Mr. Brennan can do ____ pull-ups and Mrs. Crump can do ___ pull-ups.
- Referring to Scenario 13-11, which of the following is the correct interpretation for the coefficient of determination? a) 74.67% of the variation in revenue can be explained by the variation in the number of downloads.b) 75.54% of the variation in revenue can be explained by the variation in the number of downloads.c) 74.67% of the variation in the number of downloads can be explained by the variation in revenue.d) 75.54% of the variation in the number of downloads can be explained by the variation in revenue.A salesperson purchased an automobile that was advertised as averaging 27 miles/gallon in the city and 38 miles/gallon on the highway. A recent sales trip that covered 1300 miles required 40 gallons of gasoline. Assuming that the advertised mileage estimates were correct, how many highway miles were driven on the trip? hint: even though you're asked to find highway miles , I recommend having your variables represent the number of gallons of gasoline used in the city and on the highway Number of highway milesWhat does the index value of 23.1 in 1970 mean? Why? Group of answer choices Gas in 1970 cost 0.231cents per gallon, because the gas price index measures the cost per gallon. Gas in 1970 cost 23.1 times as much as gas in 2000, because the ratio of the gas price index in 1970 to the gas price index in 2000 is 23.1. Gas in 1970 cost 0.231 times as much as gas in 2000, because the ratio of the gas price index in 1970 to the gas price index in 2000 is 0.231. Gas in 1970 cost 23.1cents per gallon, because the gas price index measures the cost per gallon.
- A real estate analyst believes that the three main factors that influence an apartment's rent in a college town are the number of bedrooms, the number of bathrooms, and the apartment's square footage. For 40 apartments, she collects data on the rent (y, in $), the number of bedrooms (x1), the number of bathrooms (x2), and its square footage (x3). She estimates the following model as Rent = Bo + ß1 Bedroom + B2 Bath + B3 Sqft + ɛ. The following ANOVA table shows a portion of the regression results. df MS Regression 3 5,694,798 1,898,266 50.88 Residual 36 1,343,142 37,310 Total 39 7,037,940 Coefficients Standard Error t-stat p-value Intercept 280 106.0 2.64 0.0030 Bedroom 218 57.5 3.79 0.0005 Bath 95 53.8 1.77 0.1172 Sqft 0.4 0.1 4 0.0284 The slope coefficient for Bedroom indicates that, holding other explanatory variables constant, Multiple Choice for each additional bedroom the rent is predicted to increase by $0.40 for each additional bedroom the rent is predicted to increase by $2189. Jesse makes $150 more per week than Ethan. a. Write a model for Jesse's salary J in terms of Ethan's salary E. b. Write a model for Ethan's salary E in terms of Jesse's salary J.You are part of a government task force evaluating whether new models of cars will meet fuel efficiency standards set out by the newly signed climate bill. You have run an ANCOVA model that predicts fuel efficiency (in miles per gallon) as a function of vehicle weight (measured in thousands of lbs, where a value of 2.5 would correspond to 2,500 lbs), horsepower, and number of cylinders in the car (cylinders is a factor in this model with 3 levels: 4 cylinders, 6 cylinders, and 8 cylinders). Your analysis tells you the following; The mean miles per gallon of all cars analyzed is 20.09 The mean weight of all cars analyzed is 3.217 thousand lbs The mean horsepower of all cars analyzed is 146.7 The regression coefficient for weight is -3.18 miles per gallon per additional thousand lbs The regression coefficient for horsepower is -0.023 miles per gallon per additional unit of horsepower Cars with 4 cylinders get 2.13 more miles per gallon, on average, than the average car Toyota is…