(a) The plot is:

(b) The test statistic, t = -4.968
(c) The hypothesis being tested is:
H0:
= 0
Ha:
≠ 0
(d) The p-value is 0.0157.
| r² | 0.892 | |||||
| r | -0.944 | |||||
| Std. Error | 4.376 | |||||
| n | 5 | |||||
| k | 1 | |||||
| Dep. Var. | Bone density | |||||
| ANOVA table | ||||||
| Source | SS | df | MS | F | p-value | |
| Regression | 472.5518 | 1 | 472.5518 | 24.68 | .0157 | |
| Residual | 57.4482 | 3 | 19.1494 | |||
| Total | 530.0000 | 4 | ||||
| Regression output | confidence interval | |||||
| variables | coefficients | std. error | t (df=3) | p-value | 95% lower | 95% upper |
| Intercept | 359.2973 | |||||
| Age | -0.6185 | 0.1245 | -4.968 | .0157 | -1.0148 | -0.2223 |
A study of bone density on 5 random women at a hospital produced the following result....
A study of bone density on 5 random women at a hospital produced the following results. 37 49 5761 Age Bone Density 360 355 330 320 310 Copy Data Step 3 of 3: Calculate the correlation coefficient, I. Round your answer to three decimal places Tables Keypad Answer How to enter your answer Submit Answer
A study of bone density on 5 random women at a hospital produced the following results. Age 350 345 330 320 310 Bone Density Step 2 of 2: Calculate the correlation coefficient.r. Round your answer to three decimal places. Explain in, a complete sentence. what this value indicates about the strength and direction of the linear relationship between these varlables. Keypad Tables Answer 2 Points Ne
A study of bone density on 5 random women at a hospital produced the following results. Age 37 41 49 61 69 Bone Density 360 345 320 315 310 Step 3 of 3 : Calculate the correlation coefficient, r. Round your answer to three decimal places.
The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, 9 = bo + bx, 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...
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, 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 37 41...
Bone mineral density and cola consumption has been recorded for a sample of patients. Let xxrepresent the number of colas consumed per week and yy the bone mineral density in grams per cubic centimeter. Based on the data shown below answer the questions rounding your final answers to four decimal places. (a) Create a scatter plot with linear regression line for the data. Y= X + (b) Interpret the slope of the regression equation in a complete sentence. c) Use...
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 39 47...
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 43 45...
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 38 45...