Question

In: Statistics and Probability

Listed below are amounts of bills for dinner and the amounts of the tips that were...

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 _________.​

Solutions

Expert Solution

i) Scatter plot:

ii) To find the linear correlation coefficient.

Linear correlation coefficient is calculated as,

i X (Bill in $) Y (Tip in $) X^2 Y^2 X*Y
1 31.62 3.9 999.8244 15.21 123.318
2 52.2 10.4 2724.84 108.16 542.88
3 90.36 8.62 8164.93 74.3044 778.9032
4 99.42 18.13 9884.336 328.6969 1802.485
5 60.7 10.6 3684.49 112.36 643.42
6 100.52 12.95 10104.27 167.7025 1301.734
sum: 434.82 64.6 35562.69 806.4338 5192.74

Substituting the values in 'r', we get,

  

  

  

  

  

iii) T determine the null and alternative hypotheses.

iv) Test statistic is given as,

Here, n=6 and r = 0.742

  

  

v) To find p-value at level of significance 0.01

The p-value is calculated P(|t|>2.2136) = 2 * P(t>2.21336)

Therefore, p-value = 2*0.04563 = 0.09126


Related Solutions

Listed below are amounts of bills for dinner and the amounts of the tips that were...
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...
Listed below are amounts of bills for dinner and the amounts of the tips that were...
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...
The amounts of 6 restaurant bills and the corresponding amounts of the tips are given in...
The amounts of 6 restaurant bills and the corresponding amounts of the tips are given in the below. Assume that bill amount is the explanatory variable and tip amount the response variable. BillTip43.585.5088.0110.00106.2716.0052.447.0049.725.2870.2910.00 Bill 43.58 88.01 106.27 52.44 49.72 70.29 Tip 5.50 10.00 16.00 7.00 5.28 10.00 (a) Find the correlation: ?= r = ____ (b) Does there appear to be a significant correlation? A. No B. Yes (c) The regression equation is ?̂= ____ (d) If the amount of...
Listed below are paired data consisting of movie budget amounts and the amounts that the movies...
Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression​ equation, letting the budget be the predictor​ (x) variable. Find the best predicted amount that a movie will gross if its budget is ​$125 million. Use a significance level of alpha equals 0.05α=0.05. Budget left parenthesis $ right parenthesisBudget ($)in Millionsin Millions 3939 2121 114114 6969 7575 5454 115115 6868 99 6565 126126 1616 1111 148148 88 Gross left parenthesis...
Listed Below are paired data consisting of movie budget amounts and the amounts that the movies...
Listed Below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression​ equation, letting the budget be the predictor​ (x) variable. Find the best predicted amount that a movie will gross if its budget is ​$105 million. Use a significance level of alpha equals 0.05. Budget ($)in Millions 38 21 115 74 79 51 123 63 7 65 123 19 9 151 7 Gross ($) in Millions 114 14 107 62 124...
Listed below are paired data consisting of movie budget amounts and the amounts that the movies...
Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression​ equation, letting the budget be the predictor​ (x) variable. Find the best predicted amount that a movie will gross if its budget is ​$140 million. Use a significance level of α=0.05. Budget left parenthesis $ right parenthesisBudget ($)in Millions 40 21 118 74 71 56 120 67 2 64 129 17 13 152 7 Gross left parenthesis $ right parenthesisGross...
Listed below are paired data consisting of movie budget amounts and the amounts that the movies...
Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression​equation, letting the budget be the predictor​ (x) variable. Find the best predicted amount that a movie will gross if its budget is​$130 million. Budget left parenthesis $ right parenthesis in Millions 43 18 120 72 79 53 124 63 5 56 125 17 6 153 10 Gross left parenthesis $ right parenthesis in Millions 125 6 112 68 112 122...
Listed below are amounts of court income and salaries paid to the town justices. All amounts...
Listed below are amounts of court income and salaries paid to the town justices. All amounts are in thousands of dollars. Construct a​ scatterplot, find the value of the linear correlation coefficient​ r, and find the​ P-value using alphaαequals=0.05. Is there sufficient evidence to conclude that there is a linear correlation between court incomes and justice​ salaries? Based on the​ results, does it appear that justices might profit by levying larger​ fines? Court_Income   Justice_Salary 64.0   31 404.0   45 1566.0   93...
Listed below are amounts of court income and salaries paid to the town justices. All amounts...
Listed below are amounts of court income and salaries paid to the town justices. All amounts are in thousands of dollars. Construct a​ scatterplot, find the value of the linear correlation coefficient​ r, and find the​ P-value using alphaequals0.05. Is there sufficient evidence to conclude that there is a linear correlation between court incomes and justice​ salaries? Based on the​ results, does it appear that justices might profit by levying larger​ fines? Court Income 64.0 402.0 1567.0 1131.0 273.0 251.0...
Listed below are amounts of court income and salaries paid to the town justices. All amounts...
Listed below are amounts of court income and salaries paid to the town justices. All amounts are in thousands of dollars. Construct a​ scatterplot, find the value of the linear correlation coefficient​ r, and find the​ P-value using alphaαequals=0.05. Is there sufficient evidence to conclude that there is a linear correlation between court incomes and justice​ salaries? Based on the​ results, does it appear that justices might profit by levying larger​ fines? Court_Income   Justice_Salary 65.0   31 403.0   46 1567.0   93...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT