Do the Complete REGRESSION ANALYSIS using the data given in table A ( Do the analysis using suitable formula and using r-scrits( RStudio) d) predict y' for Driver's age (x)= 50 Table A Driver's Age(x) Number of accidents y 60 1 55 3 45 1 18 21 5 35 3 66 1 20 7 63 48 2
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- If your graphing calculator is capable of computing a least-squares sinusoidal regression model, use it to find a second model for the data. Graph this new equation along with your first model. How do they compare?In bivariate regression, the amount of change in Y for one-unit change in X is: Group of answer choices Coiefficient Residual Slope Nove of the aboveFind regression of line scatterpolot ? identify chararctrics of the data that is ignored by regression Line
- no in Excel It is required to use the data given in the table to estimate the parameters of the simple linear regression equation by any of the estimation methods:Write down the econometric model that this OLS regression estimates. Interpret the educ coefficient. At how many average weekly hours worked is the marginal effect of hours on predicted wage equal to zero? What is the exact effect (in percent) of an increase of 10 years of education on predicted wage? What is the predicted monthly wage in US$ for a worker with 10 years of education, an IQ score of 100, who works on average 40 hours per week?While collecting data about a robot's location, x-values are recorded as the time, in seconds, since it was launched. The y-values are the distance away from the starting location. Regression analysis is performed and the r-value is calculated to be 0. Is it correct to say there is no association between time and distance from the starting location? Yes No Why or why not?
- At a .01 level of significance is there sufficient evidence to conclude that the number of books sold is related to the number of registered students in a straight-line manner, and give the regression equation.A scientific foundation wanted to evaluate the relation between y= salary of researcher (in thousands of dollars), x1= number of years of experience, x2= an index of publication quality, x3=sex (M=1, F=0) and x4= an index of success in obtaining grant support. A sample of 35 randomly selected researchers was used to fit the multiple regression model. Parts of the computer output appear below. Based from the table, what is the constant term of the multiple linear regression?A researcher examined the relationship between the annual tax amount paid by the construction company owners and the total expense items spent for the construction with regression analysis and calculated the regression line estimation as Y=6+2X. According to this; Write the interpretations of the cutoff and regression parameters, respectively, in your OWN SENTENCES in a statistically appropriate way over the tax amount and expenses.
- The electric power consumed each month by a chemical plant is thought to be related to the average ambient temperature (x1), the number of days in the month (x2). The past year’s historical data are available and are presented in the following table: Fit a multiple linear regression model to these data.Consider a linear regression model for the decrease in blood pressure (mmHg) over a four-week period with muy=2.8+0.8x and standard deviation chi=3.2. The explanatory variable x is the number of servings fruits and vegetables in a calorie-controlled diet. What is the slope of the population regression line?A doctor wanted to determine whether there is a relation between a male’s age and his HDL (so-called good cholesterol). He randomly selected 9 of his patients and determined their HDL cholesterol. The data is reported in the table below: a) Compute the regression equation for HDL as a function of age. b)Interpret the meaning of the regression parameters.