Can you take a pic of it because it shows as copy and paste
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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.
Answer:
20
Step-by-step explanation:
11%=11/100
11/100=22/x
we have to solve for x now
11x=2200 divide by 11 both side
x=200
that the answer