On the X axis, is sugar (in grams) and Y axis is calories.
here, the predictor is sugar and the response variable is calories.
2.
x | y | |
18 | 200 | |
23 | 210 | |
12 | 170 | |
12 | 190 | |
37 | 220 | |
19 | 175 | |
23 | 201 | |
22 | 210 | |
32 | 210 | |
11 | 190 | |
11 | 197 | |
29 | 205 | |
correlation | 0.734 | |
slope | 1.258 | |
intercept | 172.073 |
The correlation coefficient is found using Excel, using the command =correl(knownXs,knownYs) and is found out to be 0.734 which indicates a positive relationship among the variables. that is, sugar consumed and calories are positively correlated.
3. The regression equation is given by Y = a+bX, where
Y is the estimated calories
a is the intercept found in excel using =intercept(knownYs,knownXs)=172.073
b is the slope found using =slope(knownYs,knownXs) = 1.258
Thus, Y = 172.073 + 1.258X
4. If X = 25, Y =172.073 + 1.258*25 = 203.523. It will contain 203.5 calories.
Only 4 subparts can be answered in a multiple part question. Please give the remaining as another question.
Thank you!
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