Answer: c) About 16% of the variation in value of the car is explained by a linear relationship with the age of the car.
e) The correlation coefficient, r, is 0.397.
Step-by-step explanation:
Given that:
Coefficient of determination (r²) between two variables, age of car (x) and value of car (y) = 0.158
Correlation of determination (r²) of 0.158 = (0.158 × 100% = 15.8% of the variation between the two variables can be explained by the regression line). Hence, about 16% of the variation between age and value of car can be explained by the linear relationship.
Coefficient of correlation (r) = sqrt(r²) = sqrt(0.158) = 0.397
U^16 is the answer to this problem
0.5 pounds = 8 ounces
There are 16 ounces in a pound, and you only need half a pound so
16/2 = 8
C.
I used the rise/run method you rise 13 and run -11 which means on the x axis you move 11 spaces to the left and on the y axis you move 13 spaces up.
Answer: (26996, 42744)
Step-by-step explanation: N/A
