The following data were obtained from a survey of the number of years’ people smoked(X)  and the percentage of lung damage(Y) they sustained.  a) Find Correlation coefficient  b) Draw a Scatter plot  c) Find the Regression equation of Y on X  d) Predict the percentage of lung damage who has smoked for 30 years.   X 22 14 31 36 9 41 19 y 20 14 54 63 17 71 2

5. For the following set of data: Y 1 10 5 4 4 13 a. Find the regression equation for predicting Y from X. b. Does the regression equation account for a significant portion of the variance in the Y scores? Use a = .05 to evaluate the F-ratio %3D X27 33

We conduct a regression of size on hhinc, owner, hhsize1, hhsize2, and hhsize3. Wedo not include the constant. The regression output is reported in Table 3. Would youconclude that the home size increases with the household size? Interpret the signand magnitude of the estimated coefficients of hhsize1, hhsize2, and hhsize3

The age and prices of 11 Nissan cars given in the following data:   Age (in years) 5 4 6 5 5 5 6 6 2 7 7 Price (in $100s) 85 103 70 82 89 98 66 95 169 70 48   a. Obtain the correlation coefficient between the age and price of the cars. Interpret the value of the correlation coefficient. b. Obtain a regression equation of Price (dependent variable) on Age (Independent variable). c. What will be the Price of the car after 3 years? d. Find the coefficient of determination. Determine the percent of variation that is explained by the regression equation clearly.

The following table contains ACT scores and the GPA for eight college students. Estimate the relationship between GPA (yi) and ACT (x;) using OLS regression by hand. Report the intercept and slope estimates: Student 1 2 3 4 5 6 7 8 GPA 2.8 3.4 3.0 3.5 3.6 3.0 2.7 3.7 ŷ₁ =B₁ + B₁x₁ ACT 21 24 26 27 29 25 25 30 y X ŷ₁

After gathering data about the number of starfish and measuring the pollution in areas of the ocean you find a negative linear correlation between pollution levels and number of starfish. What can you conclude based on this information? a. There is a confounding variable that is affecting both pollution and starfish. b. As pollution rises the number of starfish falls c. That pollution is causing starfish to die, leading to the negative correlation d. That pollution is supporting starfish, leading to the negative correlation

3. Regression analysis breaks scores on the DV into... (explain and give equations)

Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression​ equation, letting the budget be the predictor​ (x) variable. Find the best predicted amount that a movie will gross if its budget is ​$100100 million. Use a significance level of alpha equals 0.05α=0.05. Budget left parenthesis $ right parenthesisBudget ($)in Millionsin Millions 4242 2525 117117 6565 7575 4747 123123 6969 33 5959 122122 2020 1010 145145 1111   Gross left parenthesis $ right parenthesisGross ($) in Millionsin Millions 123123 2020 111111 6868 127127 110110 101101 103103 5050 113113 213213 2626 1717 285285 5555   LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r.       Question content area bottom Part 1 The regression equation is ModifyingAbove y with caretyequals=enter your response hereplus+enter your response…