Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 28 years. Is the result within 5 years of the actual Best Actor winner, whose age was 43 years? Use a significance level of 0.05. Best Actress 28 30 29 62 33 33 46 30 65 23 42 54 Best Actor 43 36 38 47 48 47 58 52 39 52 44 31 Find the equation of the regression line. = (Round the y-intercept to one decimal place as needed. Round the slope to three decimal places as needed.)

Please solve for #3.

%3D Example 8. Given the regression lines as 3x + 2y = 26 and 6x + y = 31. %3D Find their point of intersection and interpret it. Also find the correlation coefficient between x and y.

At the end of the semester the lecturer runs a regression using the student's final grade as the dependent variable and a male dummy (equals one if the student is male and equals zero otherwise) as the sole explanatory variable. If the estimated intercept is 67 and the estimated coefficient on the male dummy is -4 then what is the estimated mean mark for males in this course?

The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for five randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=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. Hours Unsupervised 0 1 3 4 5 Overall Grades 95 92 85 81 62 Table   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.

The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers for a television star with a salary of $3 million. Is the result close to the actual number of viewers, 7.0 million? Use a significance level of 0.05. Salary (millions of $) Viewers (millions) 99 7 4 9 15 4.1 2.2 1.4 4.4 8.3 8.8 4.9 4.3 = Click the icon to view the critical values of the Pearson correlation coefficient r. Critical Values of the Pearson Correlation Coefficient r What is the regression equation? y=+ x (Round to three decimal places as needed.) Critical Values of the Pearson Correlation Coefficient r a =0.05 0.950 What is the best predicted number of viewers for a television star with a salary of $3 million? a= 0.01 NOTE: To test H p=0 0.990 against H, p#0, reject H, if the absolute value of r is greater than the critical value in the table. 14 The best predicted number of…

By Using the linear regression, find the predicted post-test score for someone with a score of 43 on the pre-test. Pre Post 59 56 52 63 44 55 51 50 42 66 42 48 41 58 45 36 27 13 63 50 54 81 44 56 50 64 47 50 55 63 49 57 45 73 57 63 46 46 60 60 65 47 64 73 50 58 74 85 59 44

Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 27 years. Is the result within 5 years of the actual Best Actor winner, whose age was 44 years? Best Actress 27 32 28 64 33 33 43 30 63 21 42 56 모 Best Actor 44 38 39 44 48 47 63 48 41 58 43 31 Find the equation of the regression line. (Round the constant to one decimal place as needed. Round the coefficient to three decimal places as needed.) The best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 27 years is years old. (Round to the nearest whole number as needed.) Is the result within 5 years of the actual Best Actor winner, whose age was 44 years? the predicted age is the actual winner's age.

Listed.below are systolic blood pressure measurements (in mm Hg) obtained from the same woman. Find the regression equation, letting the right arm blood pressure be the predictor (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 1000 mm Hg. Use a significance level of 0.05. Right Arm 102 101 94 79 79 O Left Arm 175 168 146 147 145 Click the icon to view the critical values of the Pearson correlation coefficient r The regression equation is y= X. (Round to one decimal place as needed.)

The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers for a television star with a salary of $13 million. Is the result close to the actual number of viewers, 5.7 million? Use a significance level of 0.05. 98 Salary (millions of $) Viewers (millions) 14 2 3.2 9.1 4.6 11 11 7 14 1 D 10.8 10.7 6.3 2.9 4.4 Click the icon to view the critical values of the Pearson correlation coefficient r. Critical Values of the Pearson Correlation Coefficient r What is the regression equation? Critical Values of the Pearson Correlation Coefficient r n α = 0.05 α = 0.01 NOTE: To test H₂: p=0 = + x (Round to three decimal places as needed.) 4 0.950 0.990 against H₁: p‡0, reject Ho 5 0.878 0.959 if the absolute value of r is 6 0.811 0.917 greater than the critical What is the best predicted number of viewers for a television star with a salary of $13 million? The…