Use least-squares regression to fit a straight line to: x = 0, 2, 4, 6, 9, 11, 12, 15, 17, 19 y = 5, 6, 7, 6, 9, 8, 8, 10, 12, 12 along with the slope and intercept of the straight line, compute the sum of the squares of the residuals, the standard error of the estimate, and the correlation coefficient. plot the data and the regression line. then, for a given value of x (which may not be among the samples), predict the value of y using the linear regression.

its a i did it myself

step-by-step explanation:

isocolese triangle

we know that the line connect a and b is the hyptonuse

so first find the hypotonuse length using the distance formula, call the length c

since it is an isocolese triangle, the lengths of the legs are the same

using pythagorean theorem,

in this case, a=b since isocolese triangle so we get

or

we can find c so we can find the distances

we know that if we draw 2 circles, each has center at a and b, and find where they intersect, we can the 2 possible locations for c

if a has center at (xa,ya) and b has center at (xb,yb), then we can solve where

and

intersect to find where they intersect

i'm not going to put an example because i have to go to class. i hope this explanation is enough

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convert the exponential equation to a logarithmic equation using the logarithm base (6) of the right side (36) equals the exponent (2).

ℓσg6(36)=2

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