Question
In: Statistics and Probability
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 231 264 359 482 531
Crash Fatality Rate 15.9 15.7 15.4 15.2 14.8
Solutions
Expert Solution
There scatter diagram suggests that there exists a negative correlation between two variables.
Conclusion:
There is sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality rates.
Yes , the results suggest that imported lemons cause car fatalities.
orchestra answered 2 years agoRelated Solutions
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
equals0.05
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 15.9
266 15.7
357 ...
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 equals0.05 . 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 231 265 357 482...
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 ascatterplot, find the
value of the linear correlation coefficient r, and find the
P-value using (x=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)
228 15.8
265 15.6
358 15.5
480 ...
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
230
264
359
484...
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 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 231 264 357 482 531
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 α equals=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
229
264
357
483...
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
231
231
265
265...
Listed below are annual data for various years. The data are weights ( metric tons) of...
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 significance level 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 232 266...
Listed below are the log body weights and log brain weights of the primates species in...
Listed below are the log body weights and log brain weights of
the primates species in the data set ”mammals”. Find the equation
of the least squares line with y = log brain weight and x = log
body weight. Do it by hand, by constructing a table like the one in
Example 9.1. Then do it with your calculator as efficiently as
possible. Finally, use the lm function in R to do it by creating a
linear model object...
The data in the table represent the weights of various domestic cars and their miles per...
The data in the table represent the weights of various domestic
cars and their miles per gallon in the city for the 2008 model
year. For the data from the first 11 cars, the least-squares
regression line is y=−0.0062x+42.4755. A twelfth car weighs 2,705
pounds and gets 14 miles per gallon. Compute the coefficient of
determination of the expanded data set (including the twelfth
car). What effect does the addition of the twelfth car to the data
set have on...
ADVERTISEMENT
ADVERTISEMENT
Latest Questions
- Parallel Arrays This question is in MindTap Cengage Summary In this lab, you use what you...
- 5. You have invested 30 percent of your portfolio in Jacob, Inc., 40 percent is Bella...
- JAVA Write a test program that prompts the user to enter a series of integers and...
- (2) Cite an example on how organizations like Google, Facebook, Youtube etc collect data for image...
- The legal landscape is perpetually changing. Psychologists must remain abreast of these changes to avoid potentially...
- We are evaluating a project that costs $1.68 million, has a six-year life, and has no...
- In C++ Having call-by-reference allows one to use storeback parameters, i.e., parameters whose values are transmitted...
ADVERTISEMENT