In: Statistics and Probability
Calories x |
150 |
170 |
120 |
120 |
90 |
180 |
170 |
140 |
90 |
110 |
Sodium y |
420 |
470 |
350 |
360 |
270 |
550 |
530 |
460 |
380 |
330 |
Y = 80.819 +2.4715x
Correlation of r is 0.9064
______ 0.
Calculated r^2 = 0.822
Ru regression analysis in excel
Regression equation: y = 2.4715x + 80.813
Slope of the regression line you wrote in part A = 2.4715
Calculate the correlation coefficient, r. = 0.9064
Calculate the coefficient of determination, .= 0.822
formula =0.9062^2 = 0.822
Use the regression equation (in part A) to predict the value of sodium content (in milligrams) for a beef hot dog that has 130 calories.
x = 130
y = 2.4715x + 80.813
y = 2.4715*130+ 80.813
y = 402 (rounded to whole number)
so the predicted value of 130 calories is 402
Using , conduct a t - test for significance to determine if there is a significant relationship between the caloric content and the sodium content of beef hot dogs.
Run t-Test: Two-Sample Assuming Equal Variances in excel
P-value = 0.00000003 lesser than the significance level 0.05
The p-value less than 0.05 (typically ≤ 0.05) is statistically significant. It indicates strong evidence against the null hypothesis, as there is less than a 5% probability the null is correct . so there is a significant relationship between the caloric content and the sodium content of beef hot dogs