A researcher working
for the Ray-Ban Corporation decides to perform a hypothesis test to
investigate whether there is a significant positive
correlation
between monthly temperature and number of sunglasses sold at one of
their locations.
The researcher randomly selected the following sample from this
location.
Monthly Temperature
(°F) Number
of Sunglasses Sold
80 91
61 34
56 66
99 72
71 74
95 125
43 65
Using the coefficient of determination, which statement is correct?
a. |
37% of the variability in the number of sunglasses sold per month can be accounted for by the variability in the monthly temperature. |
|
b. |
57% of the variability in the monthly temperature can be accounted for by the variability in number of sunglasses sold per month. |
|
c. |
72% of the variability in the monthly temperature can be accounted for by the variability in number of sunglasses sold per month. |
|
d. |
61% of the variability in the number of sunglasses sold per
month can be accounted for by the variability in the monthly
temperature. |
|
e. |
45% of the variability in the monthly temperature can be accounted for by the variability in number of sunglasses sold per month. |
Correlation coefficient calculation
r = 0.6074
Coefficient of Determination = 0.6074*0.6074 = 0.37
Thus, correct answer is as follows:
a. 37% of the variability in the number of sunglasses sold per month can be accounted for by the variability in the monthly temperature.
A researcher working for the Ray-Ban Corporation decides to perform a hypothesis test to investigate whether...
A researcher working for the Ray-Ban Corporation decides to perform a hypothesis test to investigate whether there is a significant positive correlation between monthly temperature and number of sunglasses sold at one of their locations. The researcher randomly selected the following sample from this location. Monthly Temperature (°F) Number of Sunglasses Sold 80 91 61 34 56 66 99 72 71 74 95 125 43 65 (TEMP SUMS: 2x = 505; 2x2 = 38,973) (NBR SUMS: 2x = 527; 2...
A researcher working for the Ray-Ban Corporation decides to perform a hypothesis test to investigate whether there is a significant positive correlation between monthly temperature and number of sunglasses sold at one of their locations. The researcher randomly selected the following sample from this location. Monthly Temperature (°F) Number of Sunglasses Sold 80 91 61 34 56 66 99 72 71 74 95 125 43 65 The sample...
A researcher working for the Ray-Ban Corporation decides to perform a hypothesis test to investigate whether there is a significant positive correlation between monthly temperature and number of sunglasses sold at one of their locations. The researcher randomly selected the following sample from this location. Monthly Temperature (°F) Number of Sunglasses Sold 80 91 61 34 56 66 99 72 71 74 95 125 43 65 (TEMP SUMS: 2x = 505; E x2 = 38,973) (NBR SUMS: 2 x =...
A researcher working for the Ray-Ban Corporation decides to perform a hypothesis test to investigate whether there is a significant positive correlation between monthly temperature and number of sunglasses sold at one of their locations. The researcher randomly selected the following sample from this location. Monthly Temperature (°F) Number of Sunglasses Sold 80 91 61 34 56 66 99 72 71 74 95 125 43 65 (TEMP SUMS: 2x = 505; E x2 = 38,973) (NBR SUMS: 2 x =...
7 A researcher working for the Ray-Ban Corporation decides to perform a hypothesis test to investigate whether there is a significant positive correlation between monthly temperature and number of sunglasses sold at one of their locations. The researcher randomly selected the following sample from this location. Monthly Temperature (°F) Number of Sunglasses Sold 80 91 61 34 56 66 99 72 71 74 95 125 43 65 (TEMP SUMS: 2x = 505; E x2 = 38,973) (NBR SUMS: 2 x...
152 A researcher working for the Ray-Ban Corporation decides to perform a hypothesis test to investigate whether there is a significant positive correlation between monthly temperature and number of sunglasses sold at one of their locations. The researcher randomly selected the following sample from this location. Monthly Temperature (°F) Number of Sunglasses Sold 80 91 61 34 56 66 99 72 71 74 95 125 43 65 (TEMP SUMS: 2x = 505; E x2 = 38,973) (NBR SUMS: 2 x...
A researcher working for the Ray-Ban Corporation decides to perform a hypothesis test to investigate whether there is a significant positive correlation between monthly temperature and number of sunglasses sold at one of their locations. The researcher randomly selected the following sample from this location. Monthly Temperature (°F) Number of Sunglasses Sold 80 91 61 34 56 66 99 72 71 74 95 125 43 65 The decision rule for this hypothesis test at α= 5% is: a. Reject Ho if the test statistic is greater than the...
A researcher working for the Ray-Ban Corporation decides to perform a hypothesis test to investigate whether there is a significant positive correlation between monthly temperature and number of sunglasses sold at one of their locations. The researcher randomly selected the following sample from this location. The researcher randomly selected the following sample from this location. Monthly Temperature (°F) Number of Sunglasses Sold 80 91 61 34 56 66 99 72 71 74 95 125 43 65 (TEMP SUMS: x =...
Problem 4: Variables that may affect Grades The data set contains a random sample of STAT 250 Final Exam Scores out of 80 points. For each individual sampled, the time (in hours per week) that the student spent participating in a GMU club or sport and working for pay outside of GMU was recorded. Values of 0 indicate the students either does not participate in a club or sport or does not work a job for pay. The goal of...
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