I don’t think so because I haven’t done this sorry
Answer:
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Step-by-step explanation:
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Answer:V≈226.19ft³
Step-by-step explanation:
Use the equation p=2l+2w and sub everything in to get 280=2l+2(l+12).
distribute the 2 for 280=2l+2l+24.
add/subtract like terms over, leaving you with 256=4l.
divide the 4 from 256, resulting in l=64.
since w=l+12, add 12 to 64 to find that w=76.
basically, l=64 and w=76.
hope this helps!
Answer:
Residual = -2
The negative residual value indicates that the data point lies below the regression line.
Step-by-step explanation:
We are given a linear regression model that relates daily high temperature, in degrees Fahrenheit and number of lemonade cups sold.

Where y is the number of cups sold and x is the daily temperature in Fahrenheit.
Residual value:
A residual value basically shows the position of a data point with respect to the regression line.
A residual value of 0 is desired which means that the regression line best fits the data.
The Residual value is calculated by
Residual = Observed value - Predicted value
The predicted value of number of lemonade cups is obtained as

So the predicted value of number of lemonade cups is 23 and the observed value is 21 so the residual value is
Residual = Observed value - Predicted value
Residual = 21 - 23
Residual = -2
The negative residual value indicates that the data point lies below the regression line.