<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.
First day 1 in morning after noon and night next day one in morning and night
False. Only right triangles.
Answer:
25y
Step-by-step explanation:
y×25=25y
Ratio
28:84
If you want it simplified
it would be
1:3<span />
