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
Answer:
half hour
Step-by-step explanation:
Do 1 fourth times two
Answer:
![Cost = 284 x](https://tex.z-dn.net/?f=Cost%20%3D%20284%20x)
Step-by-step explanation:
Given
![Old = 6245\ units](https://tex.z-dn.net/?f=Old%20%3D%206245%5C%20units)
![New = 6538\ units](https://tex.z-dn.net/?f=New%20%3D%206538%5C%20units)
Required
The cost of units used
First, calculate the number of units used.
![Units = New - Old](https://tex.z-dn.net/?f=Units%20%3D%20New%20-%20Old)
![Units = 6538 - 6254](https://tex.z-dn.net/?f=Units%20%3D%206538%20-%206254)
![Units = 284](https://tex.z-dn.net/?f=Units%20%3D%20284)
Next, multiply the units used by the cost per units,
Since the cost per unit is not given, we assume that it is x.
So, the total cost is:
![Cost = Units * Cost\ per\ units](https://tex.z-dn.net/?f=Cost%20%3D%20Units%20%2A%20Cost%5C%20per%5C%20units)
![Cost = 284 * x](https://tex.z-dn.net/?f=Cost%20%3D%20284%20%2A%20x)
![Cost = 284 x](https://tex.z-dn.net/?f=Cost%20%3D%20284%20x)