The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, = bo + bix, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. 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. Hours Studying 0.5 1 2 2.5 3.5 4 4.5 5 5 5.5 6 Midterm Grades 67 74 80 84 87 88 89 91 93 Table Copy Data Step 1 of 6: Find the estimated slope. Round your answer to three decimal places. Answer(How to Enter) 2 Points Keypad Keyboard Shortcuts The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y = bo + b x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. 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. Hours Studying 0.5 1 2.5 3.5 4.5 5 5.5 6 Midterm Grades 67 71 74 80 84 87 88 89 91 93 Table Copy Data Step 2 of 6: Find the estimated y-intercept. Round your answer to three decimal places. The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y = bo + bjx, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. 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. Hours Studying 0.5 1 2 2.5 4 4.5 5 5.5 6 Midterm Grades 67 74 80 84 87 88 89 91 93 Table Copy Data 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. Answer 2 Points Keypad keyboard Shortcuts True False The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y = bo + b x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. 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. Hours Studying 0.5 1 2 2.5 3.5 4 4.5 5 5.5 6 Midterm Grades 67 74 80 84 87 88 89 91 93 Table Copy Data Step 4 of 6: Find the estimated value of y when x = 1. Round your answer to three decimal places. Answer(How to Enter) 2 Points Keypad Keyboard Shortcuts The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, 9 = bo + bjx, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. 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. Hours Studying 0.5 1 12 2.6 3.5 4.5 5 5.5 6 Midterm Grades 67 74 80 84 87 88 89 91 93 Table Copy Data Step 5 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 y. Answer/How to Enter) 2 Points Keypad Keyboard Shortcuts 9442 The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, = bo + bjx, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. 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. Hours Studying 0.5 2.5 3.5 4 4.5 5 5.5 6 Midterm Grades 67 74 80 84 87 88 89 91 93 Table Copy Data Step 6 of 6: Find the value of the coefficient of determination. Round your answer to three decimal places. Answer(How to Enter) 2 Points ka The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, = bo + bix, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. 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. Hours Studying 0.5 1 2 2.5 3.5 4 4.5 5 5 5.5 6 Midterm Grades 67 74 80 84 87 88 89 91 93 Table Copy Data Step 1 of 6: Find the estimated slope. Round your answer to three decimal places. Answer(How to Enter) 2 Points Keypad Keyboard Shortcuts The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y = bo + b x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. 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. Hours Studying 0.5 1 2.5 3.5 4.5 5 5.5 6 Midterm Grades 67 71 74 80 84 87 88 89 91 93 Table Copy Data Step 2 of 6: Find the estimated y-intercept. Round your answer to three decimal places. The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y = bo + bjx, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. 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. Hours Studying 0.5 1 2 2.5 4 4.5 5 5.5 6 Midterm Grades 67 74 80 84 87 88 89 91 93 Table Copy Data 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. Answer 2 Points Keypad keyboard Shortcuts True False The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y = bo + b x, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. 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. Hours Studying 0.5 1 2 2.5 3.5 4 4.5 5 5.5 6 Midterm Grades 67 74 80 84 87 88 89 91 93 Table Copy Data Step 4 of 6: Find the estimated value of y when x = 1. Round your answer to three decimal places. Answer(How to Enter) 2 Points Keypad Keyboard Shortcuts The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, 9 = bo + bjx, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. 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. Hours Studying 0.5 1 12 2.6 3.5 4.5 5 5.5 6 Midterm Grades 67 74 80 84 87 88 89 91 93 Table Copy Data Step 5 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 y. Answer/How to Enter) 2 Points Keypad Keyboard Shortcuts 9442 The table below gives the number of hours ten randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, = bo + bjx, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. 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. Hours Studying 0.5 2.5 3.5 4 4.5 5 5.5 6 Midterm Grades 67 74 80 84 87 88 89 91 93 Table Copy Data Step 6 of 6: Find the value of the coefficient of determination. Round your answer to three decimal places. Answer(How to Enter) 2 Points ka