<h2>
Answer with explanation:</h2>
When there is a linear relationship is observed between the variables, we use linear regression predict the relationship between them.
Also, we predict the values for dependent variable by modelling a linear model that best fits the data by drawing a line Y=a+bX, where X is the explanatory variable and Y is the dependent variable.
In other words: The line of best fit is a line through a scatter plot of data points that best describes the relationship between them.
That's why the regression line referred to as the line of best fit.
25% chance because there are 8 total “slices” and there are 2 A’s.
2/8=1/4=25%
Answer:
Solve for the first variable in one of the equations, then substitute the result into the other equation.
Point Form:
(−1/2,1/2)
Equation Form:
x=−1/2,y=1/2
Step-by-step explanation:
Answer: <span>D. Are perpendicular
</span><span>4x=3y+23 slope = 4/3
</span><span>4y+3x=-19 slope = -3/4</span>
Answer:
28.25
Step-by-step explanation:
just do 226 divided by 8
