The correlation is a strong negative correlation, because as the weights increases the city MPG decreases
The graph of the table of values
To do this, we plot the weights on the x-axis, and the city MPG on the y-axis
See attachment for graph
Type of correlation
The correlation is a strong negative correlation, because as the weights increases the city MPG decreases
The equation of the line of best fit
To do this, we make use of a graphing calculator.
From the graphing calculator, we have the following summary:
- Sum of X = 463
- Sum of Y = 388
- Mean X = 28.9375
- Mean Y = 24.25
- Sum of squares (SSX) = 862.9375
- Sum of products (SP) = -857.75
The line of best fit equation is
y = bx + a
Where
b = SP/SSX = -857.75/862.94 = -0.99399
a = MY - bMX = 24.25 - (-0.99*28.94) = 53.01354
So, we have:
y = -0.99399x + 53.01354
Approximate
y = -0.99x + 53
Hence, the equation of the line of best fit is y = -0.99x + 53
The weight for 30 MPG
This means that y = 30
So, we have:
-0.99x + 53 = 30
Subtract 53 from both sides
-0.99x = -23
Divide by -0.99
x = 23.23
Approximate
x =23
Hence, the predicted weight is 23 pounds
The city MPG for 1500 pounds
This means that x = 1500
So, we have:
y = -0.99 * 1500 + 53
Evaluate
y = -1432
Hence, the city MPG for 1500 pounds is -1432
Read more about linear regression at:
https://brainly.com/question/25987747
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