By selecting a regression specification based on R2 a, a researcher implicitly adopts which of the following principles explain as little of the variation in y using as many xi as possible.
<h3>What does R² value tells you?</h3>
R² value provides an estimate of the relationship between the motion of the dependent variable, which depends on the movement of the independent variable in the equation.
The linear regression equation can be given as,
Here, Y is dependent variable and X is independent variable. Using the regression equation, it is see that how much Y value changes when we change the value of X.
Variation is the distribution of the value of Y, which is little for the different xi possible.
Thus, by selecting a regression specification based on R2 a, a researcher implicitly adopts which of the following principles explain as little of the variation in y using as many xi as possible.
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Answer:
Step-by-step explanation:
Given the coordinates E(13,8) and K(7,2), to get the length of the segment EK, we will use the formula for calculating the distance between two points expressed as:
D = √(x2-x1)²+(y2-y1)²
Given
x1 = 13, y1 = 8, x2 = 7, y2 = 2
EK =√(7-13)²+(2-8)²
EK = √(-6)²+(-6)²
EK = √36+36
EK = √72
EK = √36×√2
EK = 6√2
EK = 8.485
EK ≈8.5 (to the nearest tenth)
Hence the length of segment EK is 8.5
For the midpoint, the expression will be used
M(X,Y) = {(x1+x2)/2, (y1+y2)/2}
M(X,Y) = (13+7/2, 8+2/2)
M(X,Y) = (20/2, 10/2)
M(X,Y) = (10,5)
Hence the coordinates of its midpoint is (10,5)
Answer:
The standard error of the mean is 0.85.
Step-by-step explanation:
The given standard deviation of a population (σ) = 7.8
sample size (N) = 85
We have to find standard error of the mean.
The formula to find standard error of the mean
= (standard deviation of the distribution) / (square root of sample size)
= (σ) / (√N)
= 7.8 / (√85)
= 7.8 / 9.219544457
= 0.8460
= 0.85 (approximately taken to two decimal places)
We have got the required answer.
The standard error of the mean is 0.85.
The number in the set that is a natural number is 402