given the following table compute the linear model
height (inches) | weight (pounds) |
60 | 110 |
62 | 120 |
64 | 115 |
66 | 155 |
69 | 160 |
What are the following values?
correlation coefficient | |
b | |
m | |
what is the model? | |
if the height =67 what is the weight? |
Using TI 84 calculator
press stat then edit and enter height data in L1 and weight data in L2
again, press stat then calc and select LinReg(mx+b)
select L1 as X list and L2 as Y list
press calculate
we get
m = 6.107 and b = -260.041
Model is Weight = 6.107*height - 260.041
When height = 67,setting height = 67 in the equation, we get
Weight = 6.107*67 - 260.041
= 409.169- 260.041
= 149.128
For correlation, copy and paste the data into excel sheet
then use CORREL function
select weight data as array 1 and height data as array 2
we get
correlation (r) = CORREL(weight, height)
= 0.9033 (rounded to 4 decimals)
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