Scatter plots are used to show the relationships between two variables x and y.
Let x represents the number of spin, and y represents the average point.
So, the table is given as:
x: 6 8 2 3 4 1 10 5
y: 9 11 12 4 7 7 8 6
To create a scatter plot, we make use of a graphing calculator.
Using a graphing calculator, we have the following parameters:
- Sum of X: [tex]\mathbf{\sum x = 39}[/tex]
- Sum of Y: [tex]\mathbf{\sum y = 64}[/tex]
- Mean X: [tex]\mathbf{\bar x= 4.875}[/tex]
- Mean Y: [tex]\mathbf{\bar y= 8}[/tex]
- Sum of squares: [tex]\mathbf{SS_x = 64.875}[/tex]
- Sum of products: [tex]\mathbf{S_P = 11}[/tex].
The regression equation is then represented as:
[tex]\mathbf{\^ y = b\^x + a}[/tex]
Where:
[tex]\mathbf{b = \frac{S_p}{SS_x}}[/tex] and [tex]\mathbf{a = \bar y - b \times \bar x}[/tex]
So, we have:
[tex]\mathbf{b = \frac{S_p}{SS_x}}[/tex]
[tex]\mathbf{b = \frac{11}{64.88}}[/tex]
[tex]\mathbf{b = 0.16956}[/tex]
Approximate
[tex]\mathbf{b = 0.17}[/tex]
Also, we have:
[tex]\mathbf{a = \bar y - b \times \bar x}[/tex]
[tex]\mathbf{a = 8 - (0.17 \times 4.88) }[/tex]
[tex]\mathbf{a = 7.17341}[/tex]
Approximate
[tex]\mathbf{a = 7.17}[/tex]
So, the regression equation is:
[tex]\mathbf{\^y = 0.17\^x + 7.17}[/tex]
See attachment for the scatter plot
Read more about scatter plots at:
https://brainly.com/question/13984412