Help me please
Extracted text: Weekly Riders Price per Ride Population Income $. 15 $0. 15 $0. 15 Year Parking Rate 1,200 1, 800 $2,900 $0.50 $3, 100 $3, 200 $3, 250 $3, 275 $3, 290 $4, 100 $4, 300 $4, 400 $4, 600 2 1,190 1, 790 $0.50 3. 1,195 1, 780 $0.60 4 1, 100 $0.25 1, 778 $0.60 $0. 25 $0. 25 $0.25 1,105 1, 750 $0.60 $0.70 $0.75 1,115 1, 740 7 1,130 1, 725 8 1,095 $0.30 1, 725 $0.75 1,090 $0.30 1, 720 $0.75 10 1,087 $0.30 1, 705 $0.80 11 1,080 $0.30 1, 710 $4,815 $0.80 $5, 285 $5, 665 $5, 800 $5, 900 $5, 915 $6, 325 $6, 500 $6, 612 $6, 883 12 1,020 $0.40 1, 700 $0.80 13 1,010 $0.40 1, 695 $0.85 14 1,010 $0.40 1, 695 $1.00 15 1,005 $0. 40 1, 690 $1.05 16 995 $0.40 1, 630 $1.05 17 930 $0.75 1, 640 $1.05 18 915 $0.75 1, 635 $1.10 19 920 $0.75 1, 630 $1.25 20 940 $0.75 1, 620 $1.30 21 950 $0.75 1,615 $7,005 $1.50 22 910 $1.00 1, 605 $7, 234 $1.55 $7, 500 $7, 600 23 930 $1.00 1, 590 $1.65 24 933 $1.00 1, 595 $1.75 25 940 $1.00 1, 590 $7, 800 $1.75 26 948 $1.00 1, 600 $8,000 $1.90 27 955 $1.00 1,610 $8, 100 $2.00 1,
![The director of a public bus company was asked by the city council to explain<br>the factors that influence the demand for public transportation in her<br>company. The director wanted to support her intuition with evidence so she<br>collected data on variables she believed could have a significant relationship<br>to the number of weekly passengers that rode the bus service. Besides the<br>weekly number of riders, she collected data about the price per ride, city<br>population, population income, and parking costs. The file P10 20.xlsx !<br>contains these data.<br>a. Estimate a multiple regression equation using the given data. Interpret<br>each of the estimated regression coefficients.<br>Holding all else constant, ridership<br>[ Select]<br>by<br>approximately [ Select]<br>thousands when the price<br>per ride rises by $1.00.<br>Holding all else constant, ridership<br>[ Select]<br>by<br>approximately<br>[ Select]<br>thousands when the<br>population increases by 1,000.<br>Holding all else constant, ridership<br>[ Select ]<br>by<br>approximately (Select ]<br>thousands when the<br>disposable per capita income rises by $1.00.<br>Holding all else constant, ridership [ Select ]<br>by<br>approximately [ Select ]<br>thousands when the<br>parking rate rises by $1.00.<br>b. What proportion of the total variation in the number of weekly riders is<br>explained by this estimated multiple regression equation? ANSWER:<br>[ Select]<br>](https://s3.us-east-1.amazonaws.com/storage.unifolks.com/qimg-008/008_zbuczp0-11nnb0z2.png)
Extracted text: The director of a public bus company was asked by the city council to explain the factors that influence the demand for public transportation in her company. The director wanted to support her intuition with evidence so she collected data on variables she believed could have a significant relationship to the number of weekly passengers that rode the bus service. Besides the weekly number of riders, she collected data about the price per ride, city population, population income, and parking costs. The file P10 20.xlsx ! contains these data. a. Estimate a multiple regression equation using the given data. Interpret each of the estimated regression coefficients. Holding all else constant, ridership [ Select] by approximately [ Select] thousands when the price per ride rises by $1.00. Holding all else constant, ridership [ Select] by approximately [ Select] thousands when the population increases by 1,000. Holding all else constant, ridership [ Select ] by approximately (Select ] thousands when the disposable per capita income rises by $1.00. Holding all else constant, ridership [ Select ] by approximately [ Select ] thousands when the parking rate rises by $1.00. b. What proportion of the total variation in the number of weekly riders is explained by this estimated multiple regression equation? ANSWER: [ Select]