Height vs Weight - Erroneous Data: You will need to use software to answer these

Question

Height vs Weight - Erroneous Data: You will need to use software to answer these questions.

Below is the scatterplot and corresponding data for the height and weight of 11 randomly selected adults. You should notice something odd about the last entry.

You should be able copy and paste the data by highlighting the entire table.

Answer the following questions regarding the relationship.

The height for the last data pair must be an error.

The erroneous value from the last data pair drastically changed the regression equation.

   Including the last data pair made the slope closer to zero.

The prediction from part (d) should be more accurate than the prediction from part (b)

.All of these are valid statements.

          index height (x) weight (y) inches pounds 1 60 120 2 72 200 3 65 130 4 71 205 5 68 180 6 70 180 7 68 193 8 71 195 9 63 115 10 62 140 11 5.5 160 250 200 150 100 50 Height-vs- Weight 20 40 60 Height in Inches 80

Explanation / Answer

a)

R output:

weight = 0.44height + 138.4

b) weight(70) = 0.44*70 + 138.4 = 169.2 pounds

c)

R output

weight = 7.74*height - 352.4

d) weight(70) = 7.74*70 - 352.4 = 189.4

e) all of these are valid statements

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