1. The city of Oakdale wants to see if there is the linear relationship between the temperature and amount of electricity employed (in kilowatts). Based upon the data in table below, is there the significant linear relationship between temperature and amount of electricity used?
| Temperature (x) |
73 |
78 |
85 |
98 |
93 |
81 |
76 |
105 |
| Kilowatts (y) |
680 |
760 |
910 |
1510 |
1170 |
837 |
600 |
1800 |
A. Yes, the sample correlation coefficient is equal to 0.981, which offers evidence of significant linear relationship.
B. Yes, the sample correlation coefficient is equal to 0.878, which offers evidence of significant linear relationship.
C. No, the sample correlation coefficient is equal to 0.098, which doesn't provide evidence of significant linear relationship.
D. No, the sample correlation coefficient is equal to 0.981, which doesn't provide evidence of significant linear relationship.
2. In the chi-square goodness-of-fit test when there is close agreement between the observed frequency and the expected frequency, the chi-square test value will be small.
A. True
B. False