REFERENCE DATA -1 1 2 1 1 1 1 -2 5 A = 2 -2 -3 B= 5 4 3 C= 3 -6 4 D= -3 -1 8 1 6 -5 3 -1 -1 4 5 1 -5 4 3 -6 F= 4 G= -3 -1 E = -3 2 -2 6. -1 4 -2 9 1. det((C^-1}^T}
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- 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 yˆy^. hour studyings 1 2 4 5 6 midterm grades 62 65 73 75 81how is the 0.071s^2 + 0.389s + 0.727 was computed through regression? can someone explain?If the equation for the regression line is y = 6x + 4, then a value of x = –3 will result in a predicted value for y of -14 6 -6 4
- Find each model WITHOUT a Calculator (without regression) BY HAND. Then, use a calculator to evaluate a and b to in decimal format when submitting the answer. Hint: Check that your answer matches the answer if done with regression on the calculator. Find a linear function y-ax+b that passes through the points (3, 3) and (6, 8) Y = Y = I – 2 Find an exponential function y-ab^x that passes through the points (3, 3) and (6, 8) O y = Find a power function y-ax^b that passes through the points (3, 3) and (6, 8)You were asked to help with analysis of birth weights (BW) of 10,000 infants born in NYC during a certain period of time. The aim of the analysis is to see whether the birth weights of the infants are associated with mothers AGE at birth (continuous variable in years) and mothers smoking status (the maternal smoking status MSS contains 4 categories “Non-smoker”, “Past-smoker”, “Passive-smoker”, “Smoker”) and NYC boroughs (the BOROUGH variable contains 5 categories “Manhattan”, “Bronx”, “Brooklyn”, “Queens” and “State Island”). Write down the population model that assumes the effect of mother’s AGE at birth on infant weight BW is DIFFERENT for different levels of maternal smoking status (MSS) when adjusted for BOROUGH variable. Specify the name of each predictor in the model and/or what it means. Make sure that it is clear what each predictor means.Find the new data point (x,y) in which x=2 from the data points (1,3) and (4,12)
- Given the “data” determined by y = x^3 + (x-1)^2 with x = 0.1, 1.2, 2.3, and 2.9, calculate SSTO, SSR, and R^2. Then recalculate these using x = 0.3, 1, 2.45, and 2.8. Does where you collect your data (i.e., which values of x) appear to impact your interpretation of how good the linear model fits?.** Based on the regression results, answer the following questions ** A sample of data is collected (from 1999 and 2000) concerning the compensation of the executives (compensation is measured in 1000’s of $’s) of a number of public companies along with other firm-specific data. The dependent variable is total compensation, CEOANN is a dummy variable =1 for an individual who is a CEO and =0 for individuals who are not CEO’s, EMPL is total employees, MKTVAL is the natural logarithm of the market value of the firm, EPSIN is earnings per share, YEAR is a dummy variable = 1 for the year 2000 and =0 for year 1999, and ASSETS is the natural logarithm of the total assets of the company. Based on the regression results, answer the following questions b) What is the estimated regression equation? c) What percentage of the variation in income in explained by the regressors? d) What is the standard error of the error term in the regression equation?You were asked to help with analysis of birth weights (BW) of 10,000 infants born in NYC during a certain period of time. The aim of the analysis is to see whether the birth weights of the infants are associated with mothers AGE at birth (continuous variable in years) and mothers smoking status (the maternal smoking status MSS contains 4 categories “Non-smoker”, “Past-smoker”, “Passive-smoker”, “Smoker”) and NYC boroughs (the BOROUGH variable contains 5 categories “Manhattan”, “Bronx”, “Brooklyn”, “Queens” and “Staten Island”). Questions: 1.Write down the population model that estimates BW based on variables AGE and BOROUGH(with the dummy variables). Make sure that it is clear what each predictor means. 2.How many parallel lines are computed by model from population model you created above? 3.Write down the population model that estimates BW based on variables AGE, MSS(with their dummy variables) and BOROUGH(with their dummy variables). Also write down the number of parrallel lines.…
- The line of best fit through a set of data is y = 13.661 – 3.451x According to this equation, what is the predicted value of the dependent variable when the independent variable has value 80? y = Round to 1 decimal place.The line of best fit through a set of data isy=21.974+1.021xy=21.974+1.021xAccording to this equation, what is the predicted value of the dependent variable when the independent variable has value 140? Y=Pison/&user=tmorrison7&key%3DrotNBBCzVIsGRqZV8t.. Previous Problem Problem List Next Problem (1 point) Empathy means being able to understand what others feel. To see how the brain expresses empathy, researchers recruited 16 couples in their midtwenties who were married or had been dating for at least two years. They zapped the man's hand with an electrode while the woman watched, and measured the activity in several parts of the woman's brain that would respond to her own pain. Brain activity was recorded as a fraction of the activity observed when the woman herself was zapped with the electrode. The women also completed a psychological test that measures empathy. Subject 1 3 4 7 8 9 10 11 12 13 14 15 16 Empathy Score 41 48 39 56 64 63 59 53 Brain Activity -0.127 0.3910.02 0.378 0.015 0.404 0.11 0.513 0.149 0.736 0.254 0.573 0.217 0.72 0.355 0.786 47 52 64 73 12 68 28 120 1.2 sub ject Z F20 10,0 120 -8.4 Given that the equation for the regression line is y = 0.00619x +0.00032, what is…