In: Statistics and Probability
The annual per capita sugar consumption (in kilograms) and the average number of cavities of 11-12 year-old children in seven countries:
Sugar Consumption (X) |
3 |
5 |
7 |
6.5 |
7.7 |
8.7 |
11.6 |
Cavities (Y) |
0.59 |
1.51 |
1.55 |
3 |
2.18 |
2.1 |
2.73 |
a. Enter the above data into an excel spreadsheet.
b. Use the CORREL function and find the Linear Correlation Coefficient r
c. Use the Regression dialog box and find the regression equation.
d. Print the output from the regression dialog box (c.) above and staple it to this paper (or if an online class include the information)
e. Fill out the boxes below:
Linear Correlation Coefficient r = :
Regression Equation:
Using your regression equation above, how many cavities would you expect a child in this age range to have if they consumed 13.0 kg of sugar annually:
Bring data in to excel sheet
Correlation coefficient r = 0.73
Regression Equation:y = 0.2189x + 0.4032
Using your regression equation above, how many cavities would you expect a child in this age range to have if they consumed 13.0 kg of sugar annually:
x = 13
y = 0.2189x + 0.4032
y = 0.2189*13 + 0.4032 = 3.25
if they consumed 13.0 kg of sugar annually 3.25