Consider the equation of the regression line, yˆ = b0 + b1x, for predicting a woman's bone density based on her age. 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. age 36 40 43 51 69bone density 359 356 335 333 312step 1 of 6: find the estimated slope. round your answer to three decimal placesstep 2 of 6: find the estimated y-intercept. round your answer to three decimal places. step 3 of 6: determine if the statement "not all points predicted by the linear model fall on the same line" is true or false. step 4 of 6: determine the value of the dependent variable ˆy at x = 0.step 5 of 6: according to the estimated linear model, if the value of the independent variable is increased by one unit, then the change in the dependent variable ˆy is given by? step 6 of 6: find the value of the coefficient of determination. round your answer to three decimal places