a) Figure 1 reports a scatter plot of hhinc (horizontal axis) and size (vertical axis). Do you see any correlation in the data? Can you conclude that a higher net income causes a higher home size? 400000 500000 300000 thine 100000 200000 Figure 1
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- Martha’s Wonderful Cookie Company makes a specialsuper chocolate-chip peanut butter cookie. The companywould like the cookies to average approximately eightchocolate chips apiece. Too few or too many chips distortthe desired cookie taste. Twenty samples of five cookieseach during a week have been taken and the chocolatechips counted. The sample observations are as follows: Construct an -chart in conjunction with an R-chart using 3 limits for this data and comment on the cookie-production process. Samples Chips per Cookie1 7 69 852 7 7 8 8 103 5 57 684 4 59 97Each term (3 months) the current group of economics students completed a questionnaire as to how much they would spend on new purchases compared to how much they would save/pay off bills, if they suddenly and unexpectedly received a check for $1,000. The average MPC is shown in the table below. Month in which student poll was taken Average of students’ responses as MPC March 0.41 June 0.30 September 0.22 December 0.56 What do these MPC’s imply about the students’ thinking over the course of the year? (Enter response here.) What is likely happening in the economy during the same period of time?Chegg Home Expert Q&A My solutions Student question Time Left: 00:09:16 Use the data set Home Morloage Disdosure Act Data (HMDA) from the AER package. Subtract 1 from the factor "Was the mortage denied?". Then, eatimate the Inear regression model of paymentsto - income rato on the factor "Was the mortage denied?" ising Ols. Based on these results, the prebabity a mertougo will be denled if the payment - to - income ratio is equal to 2 is a. 1.13 b. 0.107 c. None of these d. 0.52 e. 1.00 Use the data set Home Mortgage Disclosure Act Data (HMDA) from the AER package. Subtract 1 from the factor "Was the mortage denied?". Then, estimate the linear regression model of payments-to-income ratio on the factor "Was the mortage denied?" using OLS. Based on these results, the probability a mortgage will be denied if the payment-to-income ratio is equal to 2 is a. 1.13 Ob.0.87 Oc None of these d.0.52 1.00
- Determine the national LDV gasoline consumption using ASIF method! Please use following data to compute the fuel consumption. Parameter Number of Cars Number of Motorcycle Average fueleconomy of cars Average fuel economy of matorcycle Average car kilometer travelled Average motorcycle kilometer travelled Share of diesel fueled car Value Unit Million unit Million unit Km/L Km/L km/year km/year 15.8 115.1 12 60 15000 10000 9%Zeitler’s Department Stores sells its products online and through traditional brick-andmortarstores. The following parallel coordinates plot displays data from a sample of20 customers who purchased clothing from Zeitler’s either online or in-store. The datainclude variables for the customer’s age, annual income, and the distance from the customer’shome to the nearest Zeitler’s store. According to the parallel coordinates plot, howare online customers differentiated from in-store customers?3
- The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? Weight (lb) Highway (mpg) Which scatterplot below shows the data? O A. 40- 20+ 2000 5000 2855 3050 3810 3985 4250 2275 3525 33 32 27 24 22 39 28 Weight (lb) Q Q O B. 40 20+ 2000 AHH 5000 Weight (lb) Q Q Is there a linear relationship between weight and highway mileage? O A. No, there appears to be a relationship, but it is not linear. O B. Yes, as the weight increases the highway mileage decreases. O C. Yes, as the weight increases the highway mileage increases. OD. No there appears to be no relationshin C O C. Q 40- M Q 20++ 2000 5000 Weight (lb) Highway ( O D. Highway (mpg) 40- 20+ 2000 5000 Weight (lb) QA manager of a local retail store analyzes the relationship between advertising and sales by reviewing the store's data for the previous six months. The data is found in the table below and in the excel file: store.xlsx Advertising (in $1000s) 50 66 100 74 36 68 61 98 Sales (in $1000s) 81 76 93 71 49 37 65 50 Calculate the average/mean of sales (round to 2 decimal places and keep the answer in the same units presented in the file.)How would you describe a correlation of -1? Group of answer choices There is a perfect linear relationship between x and y. There is a strong positive relationship between x and y. There is no relationship between x and y. There is a weak negative relationship between x and y. thanks