Can you show a clearer picture ??
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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:
$58.84375, rounded ≈ $58.84
Step-by-step explanation:
You can do 67.25 x 7/8 (use a calc if you are lazy) = 58.84375
I'm guessing you don't need to round so I'm going to add both real and rounded answers
The answer is simply (1,3) just subtract 2 from 3 and 4 from 7.
Answer:
x<-1
Step-by-step explanation:
I think and hope it helps
