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 59 years. Is the result within 5 years of the actual Best Actor winner, whose age was 46 years? 28 29 28 59 30 33 45 29 62 21 43 46 50 46 59 51 39 52 42 Best Actress Best Actor 43 38 38 54 35 Find the equation of the regression line. y=+( (Round the y-intercept to one decimal place as needed. Round the slope 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 59 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 46 years? the predicted age is the actual winner's age.

Scenario: A medical researcher wishes to see whether there is a relationship between a person's age, cholesterol level, and systolic blood pressure. Eight people are randomly selected. The data is listed in the table. First, find the multiple regression equation. Next, determine the coefficient of determination. Then, use the regression equation to predict a person's blood pressure reading if the person selected is 50 years old with a cholesterol reading of 220. Age Cholesterol level Blood pressure Person 1 38 220 116 Person 2 41 225 120 Person 3 45 200 123 Person 4 48 190 131 Person 5 51 250 142 Person 6 53 215 145 Person 7 57 200 148 Person 8 61 170 150 Discussion Prompts Respond to the following prompts in your initial post: 1. Identify the explanatory variables and response variable for the data. 2. What is the multiple regression equation for the data? 3. What is the coefficient of determination? 4. If a person 50 years old with a cholesterol of 220 is selected, what is that…

The number of new contributors to a public radio station's annual fund drive over the last ten years is 170, 168, 165, 172, 178, 180, 175, 185, 180, 188   Develop a trend equation (regression equation) for this information and use it to predict period 11's number of new contributors.    What is the trend equation? What is the forecast for Period 11?

Describe about how to place a regression line?

The regression equation to predict the total world gross ticket sales from the opening weekend ticket sales is:  WorldGross^=9.23+6.87⋅OpeningWeekend Does a simple linear regression model seem appropriate for this data? Explain your answer in one or two sentences.

The following table gives the data for the average temperature and the snow accumulation in several small towns for a single month. Determine the equation of the regression line, yˆ=b0+b1xy^=b0+b1x. Round the slope and y-intercept to the nearest thousandth. Then determine if the regression equation is appropriate for making predictions at the 0.01 level of significance.   Average Temperatures and Snow Accumulations Average Temperature (℉℉) 45 34 24 45 39 20 31 19 35 44 Snow Accumulation (in.in.) 9 16 24 9 15 28 25 18 16 5 1. Regression equation: y=__________ 2. Is the equation appropriate? yes or no

how to perform a linear regression to test the relationship between an independent and dependent variable where the data consists of 5 groups with repeated measures?

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A 10-year study conducted by the American Heart Association provided data on how age, blood pressure, and smoking related to the risk of strokes. The data file “Stroke.xslx” includes a portion of the data from the study. The variable “Risk of Stroke” is measured as the percentage of risk (proportion times 100) that a person will have a stroke over the next 10-year period.   Regression Analysis As Image:  1) Based on the simple regression analysis output, write the estimated regression equation.   2) What is the correlation coefficient between Risk of Stroke and Age? How do you find i