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, y = 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 36 37 38 39 40 Weight (in pounds) 4.9 5.3 5.8 6.2 6.7 Table Copy Data Step 5 of 6: Find the estimated value of y when x = 36. Round your answer to three decimal places.
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, y = 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 36 37 38 39 40 Weight (in pounds) 4.9 5.3 5.8 6.2 6.7 Table Copy Data Step 5 of 6: Find the estimated value of y when x = 36. Round your answer to three decimal places.
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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