Answer:
7.99 or D
Step-by-step explanation:
It is simple addition.
The answer to this question is 2 5/6
Answer:
Y = 0.0315x + 9.4764
Residual = 2.35
Correlation Coefficient = 0.847
Step-by-step explanation:
From the R output given :
Intercept = 9.4764
Slope = 0.0315
x = number of manufacturing enterprise employing 20 or more workers
y = annual mean concentration of Sulphur dioxide
The regression equation :
y = bx + c
b = slope ; c = intercept
y = 0.0315x + 9.4764
Prediction using the regression equation :
The predicted y value, when x = 250
y = 0.0315(250) + 9.4764
y = 17.3514
The residual, if actual annual concentration = 15
Y residual = 17.35 - 15 = 2.35
The correlation Coefficient value, R
R = √R²
R = √0.717
R = 0.847
<u>Answer:</u>
<u>Answer:Basically, we multiply the numbers altogether and take the nth root of the multiplied numbers, where n is the total number of data values. For example: for a given set of two numbers such as 3 and 1, the geometric mean is equal to √(3×1) = √3 = 1.732.</u>