The table below gives the number of hours spent unsupervisedeach day as well as the overall grade averages for seven randomlyselected middle school students. Using this data, consider theequation of the regression line, y ˆ = b 0 + b 1 x y^=b0+b1x , forpredicting the overall grade average for a middle school studentbased on the number of hours spent unsupervised each day. Keep inmind, the correlation coefficient may or may not be statisticallysignificant for the data given. Remember, in practice, it would notbe appropriate to use the regression line to make a prediction ifthe correlation coefficient is not statistically significant. HoursUnsupervised 0.5 0.5 1.5 1.5 2 2 2.5 2.5 3.5 3.5 4 4 5.5 5.5Overall Grades 96 96 94 94 90 90 86 86 85 85 80 80 70 70 Table CopyData Step 1 of 6: Find the estimated slope. Round your answer tothree decimal places. Step 2 of 6: Find the estimated y-intercept.Round your answer to three decimal places. According to theestimated linear model, if the value of the independent variable isincreased by one unit, then the change in the dependent variable yˆ y^ is given by? Determine if the statement \"Not all pointspredicted by the linear model fall on the same line\" is true orfalse. Determine the value of the dependent variable y ˆ y^ at x=0x=0 . Step 6 of 6: Find the value of the coefficient ofdetermination. Round your answer to three decimal places.