The table below gives the birth weights of five randomly selected mothers and the birth weights of their babies. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the birth weight of a baby based on the mother's birth weight. 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. Mother 5.6 5.7 8.1 8.4 8.8 Baby 5.2 5.4 6 6.5 8.4 Step 4 of 6: Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated linear model. According to this model, if the value of the independent variable is increased by one unit, then find the change in the dependent variable yˆ.
slooe = 0.6745
Intercept= 1.3628
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