Hello,
f(x)=y=4x+12
x=4y+12
==>4y=x-12
==>y=x/12- 3
g(x)=x/12 -3
40 dollars they each spent 40 dollars from 70 dollars
Answer:
The equation for regression line and predicting a husband's height for married couples in their early 20s
Equation: Y'=33.67+0.54*X'
Step-by-step explanation:
r=0.5
x'=64.5
Sx=2.5
y'=68.5
Sy=2.7
General regression line equation is:
Y'=a+b*X'
so the slope of the regression line is the linear correlation coefficient multiplied by the standard deviation for y' divided by the standard deviation for x'
The intercept with axis y is the mean of the decreased by the product of the slope and the mean of x
The equation regression line then is:
Y'=33.67+0.54*X'
<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.
We have to see the graph to what the answer is. Sorry I wish I could help!
