Our model is
When x=82 degrees F,
We round up to
Answer: 64 bags
Not sure why it says y^=34 in the question; I'm ignoring that.
The residual is the difference between the actual y and the predicted y,
Answer: 2
1. The value of (301)^2 – (300)^2 is
1 answer:
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Answer:
The answer is OPTION (D)log(y)=0.326x+0.687
<h2>Linear regression:</h2>
It is a linear model, e.g. a model that assumes a linear relationship between the input variables (x) and the single output variable (y)
The Linear regression equation for the transformed data:
We transform the predictor (x) values only. We transform the response (y) values only. We transform both the predictor (x) values and response (y) values.
(1, 13) 1.114
(2, 19) 1.279
(3, 37) 1.568
(4, 91) 1.959
(5, 253) 2.403
X Y Log(y)
1 13 1.114
2 19 1.740
3 37 2.543
4 91 3.381
5 253 4.226
Sum of X = 15
Sum of Y = 8.323
Mean X = 3
Mean Y = 1.6646
Sum of squares (SSX) = 10
Sum of products (SP) = 3.258
Regression Equation = ŷ = bX + a
b = SP/SSX = 3.26/10 = 0.3258
a = MY - bMX = 1.66 - (0.33*3) = 0.6872
ŷ = 0.3258X + 0.6872
The graph is plotted below:
The linear regression equation is log(y)=0.326x+0.687
Learn more about Linear regression equation here:
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Answer:
Step-by-step explanation:
Given that,
The base of a triangle = 2 km
The perpendicular height of the triangle =
We need to find the value of x. It is the Hypotenuse of the triangle. It can be solved as :
So, the value of x is equal to .