Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant negative linear correlation between advertising cost and profit . Use a significance level of 0.01 and round all values to 4 decimal places.
Advertising Cost | Profit |
---|---|
3 | 14 |
4 | 14 |
5 | 25 |
6 | 22 |
7 | 27 |
8 | 18 |
9 | 33 |
10 | 26 |
11 | 36 |
12 | 22 |
Ho: ρ = 0
Ha: ρ < 0
Find the Linear Correlation Coefficient
r =
Find the p-value
p-value =
The linear correlation coefficient is given by
= 0.6393
degrees of freedom = n-2 =8
P value = 0.0233 ( using P value calculator)
If we use r critical value table (one tailed ) we find
0.025 < P value < 0.05
Since P value > 0.01
We fail to reject H0
There is not sufficient evidence to conclude that correlation exists between advertising cost and profit .
Calculation
x | y | x^2 | y^2 | xy | |
3 | 14 | 9 | 196 | 42 | |
4 | 14 | 16 | 196 | 56 | |
5 | 25 | 25 | 625 | 125 | |
6 | 22 | 36 | 484 | 132 | |
7 | 27 | 49 | 729 | 189 | |
8 | 18 | 64 | 324 | 144 | |
9 | 33 | 81 | 1089 | 297 | |
10 | 26 | 100 | 676 | 260 | |
11 | 36 | 121 | 1296 | 396 | |
12 | 22 | 144 | 484 | 264 | |
total | 75 | 237 | 645 | 6099 | 1905 |
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