In: Statistics and Probability
A study was conducted with vegetarians to determine if the number of grams of protein they
ate daily was related to their diastolic blood pressure. The data are as follows:
Grams of Protein (x):
4
6.5
5
5.5
8
10
9
8.2 10.5
Diastolic BP (y):
62
79
83
82
84
92
88
86
95
Determine if there is a significant relationship between the variables, and if there is, give the
equation of the regression line and predict the diastolic blood pressure of a vegetarian who
consumes 11 grams of protein per day. Use
α
= 0.05.
Solution:
The null and alternative hypotheses are:
The correlation between the two variables is:
Under the null hypothesis, the test statistic is:
Since the p-value is less than the significance level, we, therefore, reject the null hypothesis and conclude that there is a significant relationship between the variables
We can use the excel regression data analysis tool to find the least-squares regression equation. The excel output is given below;
SUMMARY OUTPUT | ||||||
Regression Statistics | ||||||
Multiple R | 0.859 | |||||
R Square | 0.738 | |||||
Adjusted R Square | 0.701 | |||||
Standard Error | 5.173 | |||||
Observations | 9 | |||||
ANOVA | ||||||
df | SS | MS | F | Significance F | ||
Regression | 1 | 528.909 | 528.909 | 19.766 | 0.003 | |
Residual | 7 | 187.313 | 26.759 | |||
Total | 8 | 716.222 | ||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
Intercept | 57.0406 | 6.1842 | 9.2235 | 0.0000 | 42.4172 | 71.6640 |
Grams of Protein (x): | 3.5627 | 0.8014 | 4.4459 | 0.0030 | 1.6678 | 5.4577 |
Therefore, the regression equation is:
Therefore, the predicted value for 11 grams is: