The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. 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.
1) find the estimated slope. 2)find the estimated y intercept 3) Determine if the statement "not all linear points predicted by the linear model fall on the same line" is true or false. 4) determine the value of the dependent variable ^y at x=0. 5) If the value of the independent variable is increased by 1 unit, then the change in the dependent variable ^y is given by? 6) find the value of the coefficient.
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