In: Statistics and Probability
A realtor studies the relationship between the size of a house (in square feet) and the property taxes (in $) owed by the owner. The table below shows a portion of the data for 20 homes in a suburb 60 miles outside of New York City. [You may find it useful to reference the t table.]
Property Taxes |
Size |
21892 |
2498 |
17421 |
2419 |
18170 |
1877 |
15679 |
1011 |
43962 |
5607 |
33657 |
2575 |
15300 |
2248 |
16789 |
1984 |
18108 |
2021 |
16794 |
1311 |
15113 |
1327 |
36069 |
3033 |
31058 |
2871 |
42126 |
3346 |
14392 |
1533 |
38911 |
4032 |
25323 |
4041 |
22972 |
2446 |
16160 |
3596 |
29215 |
2871 |
a-1. Calculate the sample correlation coefficient rxy. (Round intermediate calculations to at least 4 decimal places and final answers to 4 decimal places.)
a-2. Interpret rxy.
a. The correlation coefficient indicates a positive linear relationship.
b. The correlation coefficient indicates a negative linear relationship.
c. The correlation coefficient indicates no linear relationship.
b. Specify the competing hypotheses in order to determine whether the population correlation coefficient between the size of a house and property taxes differs from zero.
a. H0: ρxy = 0; HA: ρxy ≠ 0
b. H0: ρxy ≥ 0; HA: ρxy < 0
c. H0: ρxy ≤ 0; HA: ρxy > 0
c-1. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.)
c-2. Find the p-value.
a. p-value < 0.01
b. p-value 0.10
c. 0.05 p-value < 0.10
d. 0.02 p-value < 0.05
e. 0.01 p-value < 0.02
d. At the 5% significance level, what is the conclusion to the test?
a. Reject H0; we can state size and property taxes are correlated.
b. Reject H0; we cannot state size and property taxes are correlated.
c. Do not reject H0; we can state size and property taxes are correlated.
d. Do not reject H0; we cannot state size and property taxes are correlated.