Answer :
The line of best fit of the student model shows the relationship between variables on a scatter plot
How to determine the equation?
The question is incomplete; So, I will make use of a dataset with the following calculation summary from a graphing calculator
- Sum of X = 112
- Sum of Y = 390.45
- Mean X = 14
- Mean Y = 48.8063
- Sum of squares (SSX) = 672
- Sum of products (SP) = -62.4
- Slope (a) = -0.1
- Y-intercept (b) = 50
So, the equation of the line of fit is:
[tex]y = -0.1x + 50[/tex]
The slope and the y-intercept
In (a), we have:
Slope (a) = -0.1Y-intercept (b) = 50So:
The slope means that the number of students reduces each year by a factor of 0.1, while the y-intercept means that the initial number of students is 50
The number of students in year 11
This means that x = 11.
So, we have:
[tex]y = -0.1*11 + 50[/tex]
[tex]y = 49[/tex]
Hence, the number of students in year 11 is 49
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