The following data lists temperature (x, in degrees Fahrenheit) and sales (y, in dollars) for 15 random days at an ice cream shop. At the 5% significance level, use Excel to test the claim that temperature and ice cream sales are linearly related by specifying the slope estimate, p-value and final conclusion below.
Do not round any intermediate calculations. Round your slope estimate answer to 2 decimal places. Round your p-value to 4 decimal places. Enter a "−" sign in front of any negative answer.
Slope estimate =
p-value =
Final conclusion: The data does not support the claim that temperature and ice cream sales are linearly related.
The data supports the claim that temperature and ice cream sales are linearly related.
Temperature Sales
35 245
57 285
87 348
92 368
56 336
85 510
86 344
62 496
63 441
33 231
56 448
79 553
80 560
57 285
73 511
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.56067478 | |||||||
R Square | 0.314356209 | |||||||
Adjusted R Square | 0.261614379 | |||||||
Standard Error | 96.48980878 | |||||||
Observations | 15 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 55491.91841 | 55491.91841 | 5.960282542 | 0.029690482 | |||
Residual | 13 | 121033.6816 | 9310.283199 | |||||
Total | 14 | 176525.6 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 168.606462 | 96.97028488 | 1.738743598 | 0.10568921 | -40.88510206 | 378.0980261 | -40.88510206 | 378.0980261 |
Temp | 3.428474595 | 1.404324627 | 2.441368989 | 0.029690482 | 0.394615688 | 6.462333503 | 0.394615688 | 6.462333503 |
Case 1:
Hypothesis :
H0 : β1 = 0
Ha : β1 not = 0
Test :
Slope estimate = 3.43
F = 5.9603
P value = 0.0297 < 0.05
P value < 0.05, Reject H0
There is enough evidence to conclude that there is significant relation between temperature and ice cream sales
or
There is enough evidence to conclude that temperature and ice cream sales are linearly related
Case 2 :
If temperature is increased by 1 unit then ice cream sales increased by 3.43 units
t = 2.4414
and p value for slope = 0.0297 < 0.05, Reject H0
There is enough evidence to conclude that temperature and ice cream sales are linearly related
Case 3 :
r = 0.5607 which means positive and moderate relation between temperature and ice cream sales
Hypothesis :
H0: ρ = 0
HA: ρ not = 0
df = n-2 = 13
r critical = 0.514
r > rc, reject H0
There is enough evidence to conclude that temperature and ice cream sales are linearly related
The following data lists temperature (x, in degrees Fahrenheit) and sales (y, in dollars) for 15...
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