Regression Analysis: y versus x
The regression equation is
y = 0.8715 - 0.001362 x
S = 0.00607522 R-Sq = 41.8% R-Sq(adj) =
36.0%
Analysis of Variance
Source
DF
SS
MS F P
Regression 1 0.0002654 0.0002654 7.19 0.023
Error 10 0.0003691
0.0000369
Total 11 0.0006344
a)
The regression equation is
y = 0.8715 - 0.001362 x
b)
when the number of colas increase by 1 , bone mineral density decrease by 0.001362 grams
c)
r = 0.646731
p-value = 0.02308 < 0.05
hence there is significant correlation
d)
y^ = 0.8715 - 0.001362 *28
= 0.833364
Bone mineral density and cola consumption has been recorded for a sample of patients. Let xxrepresent...
I need help with - (d) Predict the bone mineral density of the femoral neck of a woman who consumes two colas per week - Thank you! Because colas tend to replace healthier beverages and colas contain caffeine and phosphoric acid, researchers wanted to know whether cola consumption is associated with lower bone mineral density in women. The accompanying data lists the typical number of cans of cola consumed in a week and the femoral neck bone mineral density for...
I need help with - (b) Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice - Thank you! Because colas tend to replace healthier beverages and colas contain caffeine and phosphoric acid, researchers wanted to know whether cola consumption is associated with lower bone mineral density in women. The accompanying data lists the typical number of cans of cola consumed in a week and the femoral neck bone mineral...
Because colas tend to replace healthier beverages and colas contain caffeine and phosphoric acid, researchers wanted to know whether cola consumption is associated with lower bone mineral density in women. The accompanying data lists the typical number of cans of cola consumed in a week and the femoral neck bone mineral density for a sample of 15 women. Colas per week Bone Mineral Density (grams per cubic centimeter) 0 0.907 0 0.896 1 0.880 2 0.842 2 0.851 2 0.835...
Because coles tend to replace healthier beverages and coles contain caffeine and phosphoric acid, researchers wanted to know whether cola consumption is sssociated with lower bone mineral densly in women. The accompanying data is the typical number of cans of cola consumed in a weak and the femoral nack bona mineral density for a sample of 15 women Complete paris (a) through (ti below Click the icon to view the woren's dala i Data Table colas per week 0 1....
Because colse tend to replace healthier beverages and colas conlein caffeine and phosphoric acid, reeearchers wanted to know whether cola coneurplion is associated with lower bone mineral density in women. The accompanying dala lists the typical number of cons of cole consumed in a week and the femoral neck bona mineral deneity for a sample or 15 women. Complete perts ſay through (1) below. Click the car to view the women's data B. For any (a) Find the least squares...
A study of bone density on 5 random women at a hospital produced the following result. Suppose a significance level of a=0.02 to perform this hypothesis test. Age 33 Bone density 340 37 335 45 330 65 325 73 310 a. Draw a scatter plot of the data. b. Calculate Test- Statistic the significance of the correlation coefficient c. State the null and alternative hypothesis? d. Calculate the p-value? e. Do you reject or fail you reject the null hypothesis?...
The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, yˆ=b0+b1x y ^ = b 0 + b 1 x , for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if...
The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, ỹ = bo + b x. for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not...
The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, yˆ=b0+b1x for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Age 33 57...
circle or bold answers please. thanks! The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, ỹ = bo + b x,for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if...