One thing that measures 1 inch is the length of the Enter button on the keyboard.
( I measured)
Hope this helped☺☺
The yield is given by the regression equation
y = 859 + 5.76x₁ + 3.82x₂
where
x₁ = number of acres planted
x₂ = number of acres harvested
The goodness of fit is r² = 0.94.
This appears to a very good fit to the data because it is almost equal to 1.
To assess the goodness of fit in a statistical sense, it may also necessary to perform an F-test in a hypothesis test. This is not possible without having raw measured data.
For this problem, r²=0.94 may be considered to be a very good fit to the measured data.
Part a.
When x₁ = 3200 acres and x₂ = 3000 acres, obtain
y = 859 + 5.76*3200 + 3.82*3000
= 30,751 pounds
Part b.
Without performing a hypothesis test or a residual plot, we can conclude that the predicted value is in very good agreement with the actual value.
Because we do not have raw measured data, we can neither plot the residuals nor perform a hypothesis test.
In general,
When r² = 1, the agreement is exact.
When r² = 0, there is absolutely no agreement.
A value of r² > 0.9 is considered good.
First add all the items together:
6 + 4 + 7 + 4 = 21
then we compare 6 and 21 and look for common factors, 6 and 21 have the common factor 3 so we divide them both by 3 to get 2 and 7. since 2 and 7 have no common factors our answer is
2:7
This means for every 2 cans of fruit there are 7 total items and vice versa.
Let y represent Tim's age and let x represent Chris's age.
y=3x
y=x+14
Set the two equations equal to each other:
3x=x+14
Subtract the x from the one side to get it on the other side.
2x=14
Divide by 2 on both sides
14/2=7
x=7
Plug it back in and see if it works:
y=3(7)=21
Other equation:
7+14=21
x=7
y=21
Answer:
Linear: greater than 2011
Quadratic: lesser than 2011
Cubic: lesser than 2011
Step-by-step explanation:
At x = 2
Linear regression equation:
y = -6777.54(2) + 110001.04
y = 96445.96
More than 2011
Quadratic: y = -251.10(2)² - 2760.02(2) + 98618.06
y = 92093.62
lesser than 2011
Cubic: y = -6.23(2)² - 101.67(2)² - 3747.49(2) + 100142.23
y = 92190.73
lesser than 2011
