The table below show data that has been collected from different
fields from various farms in a certain valley. The table contains
the grams of Raspberries tested and the amount of their Vitamin C
content in mg. Find a linear model that express Vitamin C
content as a function of the weight of the
Raspberries.
grams | Vitamin C content in mg |
---|---|
65 | 16.4 |
75 | 20.8 |
85 | 24.7 |
95 | 30 |
105 | 34.6 |
115 | 39.5 |
125 | 44.1 |
A) Find the regression equation: y=y= x+x+ Round your answers to 3 decimal places
B) Answer the following questions using your un-rounded regression equation.
If we test 155 grams of raspberries what is the expected Vitamin C content? mgmg (round to the nearest tenth)
Grams (X) | Vitamin C (Y) | X * Y | X2 | Y2 | |
65 | 16.4 | 1066 | 4225 | 268.96 | |
75 | 20.8 | 1560 | 5625 | 432.64 | |
85 | 24.7 | 2099.5 | 7225 | 610.09 | |
95 | 30 | 2850 | 9025 | 900 | |
105 | 34.6 | 3633 | 11025 | 1197.16 | |
115 | 39.5 | 4542.5 | 13225 | 1560.25 | |
125 | 44.1 | 5512.5 | 15625 | 1944.81 | |
Total | 665 | 210.1 | 21263.5 | 65975 | 6913.91 |
Part a)
Equation of regression line is Ŷ = a + bX
b = 0.466
a =( Σ Y - ( b * Σ X) ) / n
a =( 210.1 - ( 0.4657 * 665 ) ) / 7
a = -14.229
Equation of regression line becomes Ŷ = -14.229 + 0.466 X
Part b)
When X = 155
Ŷ = -14.229 + 0.466 X
Ŷ = -14.229 + ( 0.466 * 155 )
Ŷ = 58.0
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