Carets normally are used for an exponent so for example
2^3=8
Hope it helps feel free to ask question
Answer:
d
Step-by-step explanation:
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Answer:
d) Squared differences between actual and predicted Y values.
Step-by-step explanation:
Regression is called "least squares" regression line. The line takes the form = a + b*X where a and b are both constants. Value of Y and X is specific value of independent variable.Such formula could be used to generate values of given value X.
For example,
suppose a = 10 and b = 7. If X is 10, then predicted value for Y of 45 (from 10 + 5*7). It turns out that with any two variables X and Y. In other words, there exists one formula that will produce the best, or most accurate predictions for Y given X. Any other equation would not fit as well and would predict Y with more error. That equation is called the least squares regression equation.
It minimize the squared difference between actual and predicted value.
Answer:
50°
Step-by-step explanation:
Let measure of one equal side be x.
80° +x +x = 180°[ sum of interior angle of triangle is 180°]
= 2x = 180° -80°
= x = 100°/2
=x = 50°
