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- calculate mean median and mode for the following data pertaining to marks in statistics out of 140 marks for 80 students in a classThe R function for logistic regression is: Question 21 options: logit exp lm glmUsing R perform linear regression for the following data set and derive the equation. If the age is 12, predict what is the weight? Age 1 3 10 16 26 36Weight 22 30 50 60 70 75
- Apply the Excel Regression tool to the Demographics data using unemployment rate as the dependent variable and cost of living index as the independent variable. Interpret the output's major regression findings, hypothesis tests, and confidence intervals. Test the regression analysis assumptions using residuals. Check standard residuals for outliers.Consider the following Confusion Matrix: Actual (down) \ Predicted (across) Yes No Totals Yes 20 5 No 10 15 Totals Based on the given time to event data, what is the value of the cumulative distribution function at t=6 if there are 10 right-censored observations?Make a time series analysis about the data in table below. Make 2 or more regression models by using stata!
- In bivariate regression, the regression coefficient will be equal to rXY when:If the standard deviation of the vehicle speed crossing a road section is 5 mph. We want to estimate the mean speed within ±1.5 of the true value with 95% confidence. What would be the sample size for this study to address this objective?Question 91. Consider the following training set of m=4 training examples: x y 0.1 0.6 1 1.5 0 0.5 3 3.5 Consider the linear regression model hθ(x)=θ0+θ1x. What are the values of θ0 and θ1 that you would expect to obtain upon running gradient descent on this model? (Linear regression will be able to fit this data perfectly.)
- Person (SSN, Name, Surname, DateOfBirth, Gender) SerologicalTest (CodT, CommercialName, Brand, Reliability) Building(CodB, City, Province Region, MaxCapacity) UndergoTest (SSN, CodT, Date, CodB, Outcome) For each serological test brand, find the brand and the overall number of tests undergone from May 1st, 2020 to June 30th, 2020 to persons who have undergone at least two tests with the outcome “Positive” of that brand. this is the solution. SELECT Brand, COUNT(*) FROM SerologicalTest ST, UndergoTest UT WHERE ST.CodT = UT.CodT AND Date >= 01/05/2020 AND Date <= 30/06/2020 AND SSN IN ( Select SSN From UndergoTest UT2, SerologicalTest ST2 where ST2.CodT = UT2.CodT and outcome='positive' and ST2.Brand = ST.Brand group by SSN having COUNT(*) > 1) GROUP BY Brand but im struggling a lot to be able to solve these type of questions im not understanding how to think about it and if i can somehow do something on a paper before starting to…Consider the following regression equation specied for 2-period panel data: where i = 1; 2; :::N and t = 1; 2. If you expect that β_1 is positive, but the correlation between Δx_i and Δu_i is negative, then what is the bias in the OLS estimator of β_1 in the first-differenced equation? Already answered but wrong one so please don't copy pasteUSING R ONLY! Generate a sample from a theoretical linear regression: Z = 1.5X – 2.8Y – 4.3 N(0, 2.5^2). Then use the sample data to create a linear regression model to predict Z by X and Y. Interpret the regression results one by one and create residual plots to describe how to use each residual plot.