Answer:
- 0.964
Step-by-step explanation:
Given that Coefficient of determination (R^2) = 0.93
Slope of regression line = - 5.26
The linear correlation Coefficient =?
The Coefficient of determination (R^2) is used to obtain the proportion of explained variance of the regression line. It is the square of the linear correlation Coefficient (R).
Hence. To obtain the linear correlation Coefficient (R) from the Coefficient of determination (R^2); we take the square root of R^2
Therefore,
R = √R^2
R = √0.93
R = 0.9643650
R = 0.964
However, since the value of the slope is negative, this depicts a negative relationship between the variables, hence R will also be negative ;
Therefore, R = - 0.964
Answer:
125.6637061 or 125.7
Step-by-step explanation:
V=πr²h
Big: π(3)²(5) = 141.3716694
Hole: π(1)²(5) = 15.70796327
141.3716694
- <u>15.70796327</u>
125.6637061
Answer:
and 
Step-by-step explanation:
Given
[Correct Question]
Required
Solve using elimination
First, we eliminate x.
Subtract equation (1) from (2)
Divide through ny 7
Take
Make x^2 the subject
Substitute 4 for y
Take square roots
Area of a square = side^2
area = 6.25^2 =
<span>
<span>
<span>
39.0625
</span>
</span>
</span>
square feet
= 39.06 (rounded)
Step-by-step explanation:
sin 46°= a/12.8
a = sin46° * 12.8 = 9.20
cos59°=b/16.8
b = cos59°*16.8 = 8.65
