The table below gives the number of weeks of gestation and the birth weight (in pounds) for a sample of five randomly selected bables. USIAG equation of the regression line, ŷ = bọ + b1x, for predicting the birth weight of a baby based on the number of weeks of gestation. Keep in mind, the correl. 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 if the correlation coefficient is not statistically significant. Weeks of Gestation 33 34 36 38 41 Weight (in pounds) 6. 6.1 6.8 7.3 7.9
The table below gives the number of weeks of gestation and the birth weight (in pounds) for a sample of five randomly selected bables. USIAG equation of the regression line, ŷ = bọ + b1x, for predicting the birth weight of a baby based on the number of weeks of gestation. Keep in mind, the correl. 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 if the correlation coefficient is not statistically significant. Weeks of Gestation 33 34 36 38 41 Weight (in pounds) 6. 6.1 6.8 7.3 7.9
Chapter4: Linear Functions
Section: Chapter Questions
Problem 40RE: For the following exercises, consider the data in Table 5, which shows the percent of unemployed ina...
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![The table below gives the number of weeks of gestation and the birth weight (in pounds) for a sample of five randomly selected babies. Using this data, consider the
equation of the regression line, ŷ = bọ + b1x, for predicting the birth weight of a baby based on the number of weeks of gestation. 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.
Weeks of Gestation 33
34
36
38
41
Weight (in pounds)
6.
6.1
6.8
7.3
7.9
Table
Copy Data
Step 5 of 6: Find the error prediction when x = 36. Round your answer to three decimal places.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3896aeea-7096-4282-b4c5-89664089d1fc%2Fc6101468-e8a4-475a-9898-5ae468b1ef1b%2Fxu67izk_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The table below gives the number of weeks of gestation and the birth weight (in pounds) for a sample of five randomly selected babies. Using this data, consider the
equation of the regression line, ŷ = bọ + b1x, for predicting the birth weight of a baby based on the number of weeks of gestation. 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.
Weeks of Gestation 33
34
36
38
41
Weight (in pounds)
6.
6.1
6.8
7.3
7.9
Table
Copy Data
Step 5 of 6: Find the error prediction when x = 36. Round your answer to three decimal places.
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