In: Statistics and Probability
The table below contains information on 48 houses: the value of the house and the amount of rental income in a year that the house brings in ("Capital and rental," 2013).
Table: Data of House Value versus Rental
Value |
Rental |
Value |
Rental |
Value |
Rental |
Value |
Rental |
81000 |
6656 |
77000 |
4576 |
75000 |
7280 |
67500 |
6864 |
95000 |
7904 |
94000 |
8736 |
90000 |
6240 |
85000 |
7072 |
121000 |
12064 |
115000 |
7904 |
110000 |
7072 |
104000 |
7904 |
135000 |
8320 |
130000 |
9776 |
126000 |
6240 |
125000 |
7904 |
145000 |
8320 |
140000 |
9568 |
140000 |
9152 |
135000 |
7488 |
165000 |
13312 |
165000 |
8528 |
155000 |
7488 |
148000 |
8320 |
178000 |
11856 |
174000 |
10400 |
170000 |
9568 |
170000 |
12688 |
200000 |
12272 |
200000 |
10608 |
194000 |
11232 |
190000 |
8320 |
214000 |
8528 |
208000 |
10400 |
200000 |
10400 |
200000 |
8320 |
240000 |
10192 |
240000 |
12064 |
240000 |
11648 |
225000 |
12480 |
289000 |
11648 |
270000 |
12896 |
262000 |
10192 |
244500 |
11232 |
325000 |
12480 |
310000 |
12480 |
303000 |
12272 |
300000 |
12480 |
Question 1 options:
The table below contains information on 48 houses: the value of the house and the amount of rental income in a year that the house brings in ("Capital and rental," 2013).
Table: Data of House Value versus Rental
Value |
Rental |
Value |
Rental |
Value |
Rental |
Value |
Rental |
81000 |
6656 |
77000 |
4576 |
75000 |
7280 |
67500 |
6864 |
95000 |
7904 |
94000 |
8736 |
90000 |
6240 |
85000 |
7072 |
121000 |
12064 |
115000 |
7904 |
110000 |
7072 |
104000 |
7904 |
135000 |
8320 |
130000 |
9776 |
126000 |
6240 |
125000 |
7904 |
145000 |
8320 |
140000 |
9568 |
140000 |
9152 |
135000 |
7488 |
165000 |
13312 |
165000 |
8528 |
155000 |
7488 |
148000 |
8320 |
178000 |
11856 |
174000 |
10400 |
170000 |
9568 |
170000 |
12688 |
200000 |
12272 |
200000 |
10608 |
194000 |
11232 |
190000 |
8320 |
214000 |
8528 |
208000 |
10400 |
200000 |
10400 |
200000 |
8320 |
240000 |
10192 |
240000 |
12064 |
240000 |
11648 |
225000 |
12480 |
289000 |
11648 |
270000 |
12896 |
262000 |
10192 |
244500 |
11232 |
325000 |
12480 |
310000 |
12480 |
303000 |
12272 |
300000 |
12480 |
1. Which of the two scatter plots displayed in the image above the problem script correctly depicts rental income as a function of house value?
Enter letter corresponding to correct plot
2. Use technology to determine regression equation between house value and rental income.
Enter regression equation in the format as follows:
y^=a+bx
with slope rounded to nearest thousandth and y-intercept value rounded to nearest integer. Examples of correctly entered answers:
y^=-4210+.348x
y^=67553-1.242x
Linear regression equation calculator:
Correlation and Linear Regression Calculator Applet
3. Use the regression equation to find the rental income from a house worth $230,000
Enter amount to nearest dollar; do not include dollar sign, commas, or units of measure
4. Use the regression equation to find the rental income from a house worth $400,000
Enter amount to nearest dollar; do not include dollar sign or units of measure
5. Which rental income that you calculated do you think is closer to the true rental income?
A. $10884, since house value producing this annual rental income would fall within range of house value data (rental income value is interpolated)
B. Both calculations are equally accurate since they are calculated using the same regression equation
C. $14964, since annual rental income is extrapolated
Enter letter corresponding to correct answer
Answers
1. Plot A describes rental income as a function of house value, as in a graph we put the 'independent factor' at the X axis, and the dependent factor on the Y axis.
2. Using MINITAB we have calculated the regression equation :
One can use scientific calculator or any other tehnology.
3. putting x=230000 in the above equation, we get the desired rental value as 10884
4.similarly rent for house value 400000 is : 14964