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
I would say y = ln x + 4
you can use a graphing calculator
Answer:
the answer is B
Step-by-step explanation:
James James James jams James sano a ao
I think that’s it f(x)=2x−12
You have two given data available here: the actual height of the Empire State Building measuring 1,450 feet, and the height of the block measuring 2 feet. To find how many blocks stacked together would make up 1,450 feet, just divide 1,450 by 2.
Number of blocks=1,450 feet * (1 block/2 feet)
Number of blocks = 725 blocks
Therefore, you would use a model requiring 725 blocks. The scale factor for the model is 1 block per two feet.
