In: Statistics and Probability
A researcher decides to examine whether there is a correlation between cost of a packet of chocolate chip cookies (rounded to the nearest dollar) and degree of customer satisfaction (on a scale of 1 - 10 with a 1 being not at all satisfied and a 10 being extremely satisfied). A sample of the data is provided below.
Dollars (X) |
Satisfaction (Y) |
11 |
6 |
18 |
8 |
17 |
10 |
15 |
4 |
9 |
9 |
5 |
6 |
12 |
3 |
19 |
5 |
22 |
2 |
25 |
10 |
scatter plot:
Calculate the Pearson Product Moment Correlation for these data
The correlation coefficient, or Pearson product-moment correlation coefficient (PMCC) is 0.0764
Interpret the correlation:
What is the Coefficient of Determination?
=0.0058
Conduct a hypothesis test for r = 0
P-value = 0.834 which is larger than significance level 0.05
If the p-value is larger than 0.05, we cannot conclude that a significant difference exists