Answer: C.) The coefficient of determination is 0.215. 21.5% of the variation is explained by the linear correlation, and 78.5% is explained by other factors.
Step-by-step explanation:
Given that :
Number of observations = 40
Linear Correlation Coefficient (R) = 0.464
The Coefficient of determination ( R^2) =?
The Coefficient of determination (R^2) is the squared value of the linear correlation Coefficient value (R) . The value value ranges from 0 to 1 and depicts the proportion of the variation in the dependent variable that can be accounted for by the independent variable.
For the scenario given above,
The Coefficient of determination (R^2) = 0.464^2 = 0.215296 = (0.215296 * 100%) = 21.5%
This means that 21.5% of the variation can be explained by the relationship between both variables while (100% - 21.5% = 78.5%) can be explained by other factors.
Answer:
Step-by-step explanation:
x = larger number, y = smaller number
x + y = 57
x = 2y - 3
2y - 3 + y = 57
3y - 3 = 57
3y = 57 + 3
3y = 60
y = 60/3
y = 20 <=== the smaller number
x = 2y - 3
x = 2(20) - 3
x = 40 - 3
x = 37 <=== the larger number
Answer:
Step-by-step explanation:
The answer is B, if we were to plug all the values of x with its corresponding value of y into the equation, everything matches up
Hope that helps
Answer:
Yaaaaaaaaassss
Step-by-step explanation:
Answer:
67!
Step-by-step explanation:
A way to look at it is, since the number is 387, it can be broken into 6 parts. 50x6 is about 300. That leaves 87 to be left over. So it's safe to assume each number will be around 50-60, so I started to add up six consecutive numbers together until I reached my final set of numbers to reach 387.
My numbers were 62+63+64+65+66+<u><em>67</em></u>=387
I hope this makes sense!
