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 |
228228 |
266266 |
357357 |
483483 |
532532 |
||
Crash Fatality Rate |
15.915.9 |
15.615.6 |
15.515.5 |
15.215.2 |
14.814.8 |
What are the null and alternative hypotheses?
A.
Upper H 0H0:
rhoρequals=0
Upper H 1H1:
rhoρless than<0
B.
Upper H 0H0:
rhoρequals=0
Upper H 1H1:
rhoρnot equals≠0
C.
Upper H 0H0:
rhoρequals=0
Upper H 1H1:
rhoρgreater than>0
D.
Upper H 0H0:
rhoρnot equals≠0
Upper H 1H1:
rhoρequals=0
Construct a scatterplot. Choose the correct graph below.
A.
020040060014151617xy
A scatterplot has a horizontal x-scale from 0 to 600 in increments of 100 and a vertical y-scale from 14 to 17 in increments of 0.5. Five points are plotted with coordinates as follows: (230, 15.9); (270, 15.6); (360, 15.5); (480, 15.2); (530, 14.8). All horizontal coordinates are approximate.
B.
020040060014151617xy
A scatterplot has a horizontal x-scale from 0 to 600 in increments of 100 and a vertical y-scale from 14 to 17 in increments of 0.5. Five points are plotted with coordinates as follows: (200, 14.9); (230, 15.9); (330, 16.2); (400, 15.1); (560, 15.3). All horizontal coordinates are approximate.
C.
020040060014151617xy
A scatterplot has a horizontal x-scale from 0 to 600 in increments of 100 and a vertical y-scale from 14 to 17 in increments of 0.5. Five points are plotted with coordinates as follows: (230, 15.9); (270, 15.6); (360, 15.5); (480, 15.6); (530, 15.9). All horizontal coordinates are approximate.
D.
020040060014151617xy
A scatterplot has a horizontal x-scale from 0 to 600 in increments of 100 and a vertical y-scale from 14 to 17 in increments of 0.5. Five points are plotted with coordinates as follows: (230, 14.8); (270, 15.2); (360, 15.5); (480, 15.6); (530, 15.9). All horizontal coordinates are approximate.The linear correlation coefficient r is
nothing.
Interpretation:
The scatter plot of the variables lemon imports (X) and the car fatalities (Y) indicates that the strong negative linear relationship. Since, the direction of the data points is down wards. Hence, we can say that there is negative linear relationship between the variables. The main conclusion of the part (a) and the interpretation of the scatter plot are the same.
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 a = 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 230 266 359 483...
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 a = 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 230 266 358 482...
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 a = 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 232 265 357 483...
5. 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, and 530 Crash Fatality Rate: 15.9, 15.7, 15.4, 15.3, and 14.9 Draw a scatterplot of these two variables and comment on the following: correlation. Fill in the blank with the There appears to be a correct answer. A. Strong Positive B. Strong Negative C. Weak...
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 a=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 228 265 359 482 534 Crash...
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The mean waiting time at the drive-through of a fast-food restaurant from the time an order is placed to the time the order is received is 86.286.2 seconds. A manager devises a new drive-through system that hehe believes will decrease wait time. As a test, hehe initiates the new system at hishis restaurant and measures the wait time for 1010 randomly selected orders. The wait times are provided in the table to the right. Complete parts (a) and (b) below....
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