Question

7. Listed below are annual data for various years. The data are weights​ (metric tons) of...

7. Listed below are annual data for various years. The data are weights​ (metric tons) of imported lemons and car crash fatality rates per​ 100,000 population. 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 lemon imports and crash fatality​ rates? Do the results suggest that imported lemons cause car​ fatalities?

Lemon_Imports_(x)        Crash_Fatality_Rate_(y)

231         15.9

264         15.7

358         15.5

482         15.3

531         14.8

The linear correlation coefficient r is____

(Round to three decimal places as​ needed.)

The test statistic t is____

(Round to three decimal places as​ needed.)

The​ P-value is____

(Round to three decimal places as​ needed.)

Because the​ P-value is (greater/Less) than the significance level 0.05​, there (is/is not) sufficient evidence to support the claim that there is a linear correlation between lemon imports and crash fatality rates for a significance level of α=0.05.

Do the results suggest that imported lemons cause car​ fatalities?

A. The results suggest that an increase in imported lemons causes car fatality rates to remain the same.

B. The results do not suggest any​ cause-effect relationship between the two variables.

C. The results suggest that imported lemons cause car fatalities.

D. The results suggest that an increase in imported lemons causes in an increase in car fatality rates.

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Listed below are annual data for various years. The data are weights​ (metric tons) of imported...
Listed below are annual data for various years. The data are weights​ (metric tons) of imported lemons and car crash fatality rates per​ 100,000 population. Construct a​ scatterplot, find the value of the linear correlation coefficient​ r, and find the​ P-value using alphaαequals=0.050.05. Is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality​ rates? Do the results suggest that imported lemons cause car​ fatalities? Lemon Imports 228 264 359 480 533 Crash...
Listed below are annual data for various years. The data are weights​ (metric tons) of imported...
Listed below are annual data for various years. The data are weights​ (metric tons) of imported lemons and car crash fatality rates per​ 100,000 population. Construct a​ scatterplot, find the value of the linear correlation coefficient​ r, and find the​ P-value using alpha = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality​ rates? Do the results suggest that imported lemons cause car​ fatalities? Lemon_Imports_(x)   Crash_Fatality_Rate_(y) 230                                       15.8 266  ...
Listed below are annual data for various years. The data are weights​ (metric tons) of imported...
Listed below are annual data for various years. The data are weights​ (metric tons) of imported lemons and car crash fatality rates per​ 100,000 population. Construct a​ scatterplot, find the value of the linear correlation coefficient​ r, and find the​ P-value using α=0.05 Is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality​ rates? Do the results suggest that imported lemons cause car​ fatalities? Lemon Imports 228 266 357 483 534 Crash...
a)Listed below are annual data for various years. The data are weights (metric tons) of lemons...
a)Listed below are annual data for various years. The data are weights (metric tons) of lemons imported from Mexico and U.S. car crash fatality rates per 100,000 population. Lemon imports 230 265 358 480 530 Crash fatality rate 15.9 15.7 15.4 15.3 14.9 Draw a scatterplot of these two variables and comment on the following: There appears to be                            [ Select ]                       ["a strong positive",...
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​...
Find the regression​ equation, letting the first variable be the predictor​ (x) variable. Using the listed​ lemon/crash data, where lemon imports are in metric tons and the fatality rates are per​ 100,000 people, find the best predicted crash fatality rate for a year in which there are 450 metric tons of lemon imports. Is the prediction​ worthwhile? Lemon Imports 231    268    350 461    550 Crash Fatality Rate    15.9    15.6    15.2 15.3    15 Find...
Find the regression? equation, letting the first variable be the predictor? (x) variable. Using the listed?...
Find the regression? equation, letting the first variable be the predictor? (x) variable. Using the listed? lemon/crash data, where lemon imports are in metric tons and the fatality rates are per? 100,000 people, find the best predicted crash fatality rate for a year in which there are 475 metric tons of lemon imports. Is the prediction? worthwhile? Lemon Imports 229 267 362 485 517 Crash Fatality Rate 15.9 15.8 15.4 15.3 14.9 Find the equation of the regression line y...
resulting crash fatality rates. At a 0.05 level of significance determine if there is sufficient evidence...
resulting crash fatality rates. At a 0.05 level of significance determine if there is sufficient evidence to support the claim there is not a linear relationship between the weight of cars and crash fatality rates? Given these results, what is the best predictor of Y when X = 4000 lb? X Weight of Imports lbs 2300 2650 3580 4800 5300 Y Car Crash Fatality Average 15.9 15.7 16.8 17.2 19.1 What is the Null and Alternative hypothesis? What is the...
9. Listed below are the overhead widths​ (in cm) of seals measured from photographs and the...
9. Listed below are the overhead widths​ (in cm) of seals measured from photographs and the weights​ (in kg) of the seals. Construct a​ scatterplot, find the value of the linear correlation coefficient​ r, and find the critical values of r using alphaequals0.05. Is there sufficient evidence to conclude that there is a linear correlation between overhead widths of seals from photographs and the weights of the​ seals? Overhead Width               Weight 7.1          113 7.6          161 9.8          247 9.3          200 8.7         ...
Listed below are the budgets​ (in millions of​ dollars) and the gross receipts​ (in millions of​...
Listed below are the budgets​ (in millions of​ dollars) and the gross receipts​ (in millions of​ dollars) for randomly selected movies. Construct a​ scatterplot, find the value of the linear correlation coefficient​ r, and find the​ P-value using alphaαequals=0.050.05. Is there sufficient evidence to conclude that there is a linear correlation between budgets and gross​ receipts? Do the results change if the actual budgets listed are ​$65 comma 000 comma 00065,000,000​, ​$86 comma 000 comma 00086,000,000​, ​$53 comma 000 comma...
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 alpha equals0.05 . 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 1568.0 1130.0...