The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, = 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 statistically significant. Age 38 43 53 59 63 Bone Density 357 351 326 317 313 Table Copy Data Step 4 of 6: Find the error prediction when x = 59. 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, = 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 statistically significant. Age 38 43 53 59 63 Bone Density 357 351 326 317 313 Table Copy Data Step 4 of 6: Find the error prediction when x = 59. Round your answer to three decimal places.

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter4: Linear Functions

Section: Chapter Questions

Problem 30PT: For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or...

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For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or older who are college graduates in a particular city, by year. Based on the set of data given in Table 5, calculate the regression line using a calculator or other technology tool, and determine the correlation coefficient. Round to three decimal places of accuracy
Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?
For the following exercises, consider the data in Table 5, which shows the percent of unemployed in a city ofpeople25 years or older who are college graduates is given below, by year. 41. Based on the set of data given in Table 7, calculatethe regression line using a calculator or othertechnology tool, and determine the correlationcoefficient to three decimal places.
What does the y -intercept on the graph of a logistic equation correspond to for a population modeled by that equation?
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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 40 52 60 67 Bone Density 352 351 336 329 319. Find the estimated slope. Round your answer to three decimal places
Incorrect The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, y = bo + bjx, 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 linke to make a prediction if the correlation coefficient is not statistically significant. %3D Age 36 38 54 59 60 Bone Density 326 323 321 314 311 Table Copy Data Step 1 of 6: Find the estimated slope. Round your answer to three decimal places. Answer How to enter your answer E Keypad E Tables Keyboard Shortcuts Tutor Skip Try Similar Submit Answer O 2020 Hawkes Learning MacBook Air esc 80 888 F1 F2 F3 FS F6 F7 FB F11 12 ! #3 $ & 1 2 4 6. 7 8 dele Q W E R Y { } 9- [ Wock A S D F G H J K V H ontrol option command command option *3