In: Statistics and Probability
Listed below are amounts of bills for dinner and the amounts of the tips that were left. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Use a significance level of α = 0.01. If everyone were to tip with the same percentage, what should be the value of r?
Bill (dollars) 31.62 52.20 90.36
99.42 60.70 100.52
Tip (dollars) 3.90 10.40
8.62 18.13 10.60 12.95
Construct a scatterplot.
The linear correlation coefficient r is ________.
(Round to three decimal places as needed.)
determine the null and alternative hypotheses.
Ho: ρ(1)____________ ________________
H1: ρ(2)___________ ________________
(Type integers or decimals. Do not round.)
The test statistic is _________.
(Round to two decimal places as needed.)
The P-value is _________.
(Round to three decimal places as needed.)
Because the P-value of the linear correlation coefficient is (3) ___________the significance level, there (4)____________ sufficient evidence to support the claim that there is a linear correlation between bill amounts and tip amounts.
If everyone were to tip with the same percentage, then r =
________ .
(Round to three decimal places as needed.)
(1) ≠
>
=
<
(2) >
=
≠
<
(3) greater than
less than or equal to
(4) is not
is
linear correlation coefficient r='Sxy/(√Sxx*Syy) = | 0.763 |
null hypothesis: Ho: ρ'= | 0 | |
Alternate Hypothesis: Ha: ρ≠ | 0 |
test stat t= | r*(√(n-2)/(1-r2))= | 2.36 |
P value = | 0.078 | (from excel:tdist(2.3578,4,2) |
Because the P-value of the linear correlation coefficient is greater than the significance level, there is sufficient evidence to support the claim that there is a linear correlation between bill amounts and tip amounts.
v If everyone were to tip with the same percentage, then r = 1.000