Answer:The Last One
Step-by-step explanation:
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:
90,502,084.19
Step-by-step explanation:
Just add them together
Answer: (-4, -2) and (6, -2)'s slope is 0, (2,9) and (2, -5)'s is undefined
Step-by-step explanation:
bro its not that hard, y1-y2 divided by x1-x2
2000 | 2
1000 | 2
500 | 2
250 | 2
125 | 5
25 | 5
5 | 5
1
√2000 = √2².√2².√5².√5
√2000 = 2.2.5√5
√2000 = 20√5
(aproximadamente 44.72135955)