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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:
8/25 is the simplest form
First, you need to move 2 to the other side. You accomplish this by adding 2 to 1. You have y>3. Since your variable is smaller than 3, draw an open circle on the 3 mark and a squiggly line left of 3.
Hello again!
First, distribute the 3 to the parenthesis, so you get 7.2-3.3m=2.7m+3.2. Next, subtract 3.2 from both sides to get m's on one side. Then you have 4.2-3.3m=2.7m. Next, add 3.3m to both sides so you can solve for m. Now you have 4.2=6m. Then, divide 4.2 by 6, and m=.7
Hopefully this helps! Let me know if you have any questions
Answer:
13.5%
Step-by-step explanation:
I hope this helps
