Answer:
The answer is perpendicular
Step-by-step explanation:
convert the two equations into slope-intercept form
y=7/5x - 1
y=6/5x -1
Then, put it in the graph and you'll get lines intersecting at the same point which is the y-intercept.
Answer:
x=19
Step-by-step explanation:
We know that the interior angles of a triangle add up to 180 degrees. We already have one angle, the bottom one, so let's just get that out of the picture by subtracting it from 180. The other two angles add up to be 80 degrees. What we can do is combine them together and get 4x-4=80. We have 4x because of x+3x. It equals 80 because that's what the two angles together add up to be. What we want to do now is get x by itself. Subtract 4 from both sides and get 4x=76. Now, we divide by 4, to undo multiplication. We are left with x=19, and now we have our answer.
Answer:
A(r) = √2 * r
A(r) Domain is R { r ; r > 0}
Step-by-step explanation:
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Answer:
The regression line having minimum residuals, actual values closest to estimated regression line values : depicts the most reasonable data model.
Step-by-step explanation:
Regression is a statistical tool depicting cause effect relationship between independent variable(s) (X) , dependent variable. (Y)
Population Regression Function is the conditional expectation of Yi, based on given Xi.
E (Yi / Xi ) =
; where Y's value is based on given X values
Sample Regression Function is estimated relationship between Y & X, based on sample study.
y = b0 + b1x1 ; where y is a estimate of Y, b0 & b1 estimates of
.
In estimating through SRF: there are residuals, i.e differences between actual & estimated values. The most reasonable regression model (regression line) is which minimises the residual values, i.e actual values are closest possible to regression estimated values.
For this matter, classical linear regression model uses 'Ordinary Least Squares' regression, which minimises the residual's squared values.