A predictive model's performance is presented below with following confusion matrix: [84 18] l14 38] Calculate G-mean for the given confusion matrix and give interpretation on the results.
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- given the data on the table below, solve for the weighted meanSuppose a data set from a bike share company contains the number of daily bike rentals at each of 6 stations for the 23 weekdays of a particular month, i.e. we have Yij for i = 1, ..., 23 and j 1,...6. Write down a hierarchical normal model that can be used to estimate the mean number of bike rentals at each station. You can assume that the unknown variance o? of the number of bike rentals is the same for each station.In output data analysis, autocorrelation and initialization bias are the potential issues to overcome. Select one: True False
- i need help explaining 3 out of the 6 correlationsA study is conducted to investigate the association between income level and political party affiliation in the USA. Income level has 5 levels: Lowest (lowest 20-th percentile), low, middle, high, and very high (top 20-th percentile). Political party has 3 categories: Democratic (D), Independent (I), and Republican (R). A baseline category logit multinomial is fit on the 3 response categories using covariate of income level as ordinal (with scores 1, 2, 3, 4, and 5 for the categories lowest, low, middle, high and very high respectively). Base category of response is Independent. The fitted model is log(ˆπD/πˆI ) = 3.3 − 0.2x and log(ˆπR/πˆI ) = 1.0 + 0.3x, where x=1,2,3,4,5 (poverty levels as numeric/ordinal), πD is the probability of being Democrat, πI is the probability of being Independent, and πR is the probability of being Republican. a. Comparing the chances/probability of being Republican to Independent, interpret the effect of income level increases on the odds (of being…The manager of a company that assembles and exports a particular type of pumps wants to know if there is a link between the number of hours spent by assembly workers in training and their productivity on the job. A random sample of 7 assembly workers was selected and their performances evaluated. The summary of the obtained data is listed in Table 2. Table 2: Shows the time spend by workers during training and their productivity on jobTraining hours (x) 20 36 20 38 40 33 32Output (y) 40 70 44 56 60 48 62 (i) Construct a scatter plot of the sample data and comment on the relationship between hours of training and output. (ii) Estimate a simple regression line, using the method of least squares, to identify a linear relationship between the hours of training received by assembly workers and their output (i.e. number of units assembled per day). (iii) Interpret, in context, the gradient/slope of the regression line. (iv) Estimated the output at 20 hours training time. (v) Interpret the…
- An article included the accompanying data on 17 fish caught in 2 consecutive years. Year FishNumber Weight(g) Length(mm) Age(years) Year 1 1 777 410 9 2 581 368 11 3 540 357 15 4 647 373 12 5 537 361 9 6 892 385 9 7 674 380 10 8 782 400 12 Year 2 9 570 407 12 10 628 410 13 11 728 421 12 12 866 446 19 13 1,043 478 19 14 803 441 18 15 833 454 12 16 765 440 12 17 728 427 12 (a) Fit a multiple regression model to describe the relationship between weight and the predictors length and age. (Use x1 for length and x2 for age. Round your numerical values to two decimal places.) = (b) Carry out the model utility test to determine whether at least one of the predictors length and age are useful for predicting weight. Use a significance level of 0.05. Calculate the test statistic and find the P- value. (Round your answer to two decimal places.) F = P-value =IL-6 is a cytokine released as an immune response to infection. Elevated IL-6 is suggested to be predictive of severe illness with Covid-19. Suppose we wanted to conduct a study to see if this is true among patients with Covid-19 in Florida. Assuming from a previous studies in other areas of the US, the mean IL-6 id 8.87 pg/mL (s.d. = 6.09 pg/mL) among individuals with moderate disease and 7.66 pg/mL (s.d.= 4.97 pg/mL) among individuals that are asymptomatic or have mild illness, how many people in total, would need to enroll in our new study to determine if there is a difference in means with 95% confidence and 80% power? A. 106 B. 301 C. 187 D. 243Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support Correlation Results the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that Correlation coeff, r: 0.959614 a measured chest size can be used to predict the weight? Use a significance level of = 0.05. Critical r: +0.2680855 P-value (two tailed): 0.000 Но: Р H1:P (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) O A. There is one critical value at r= . B. There are two critical values at r= ± Is there sufficient evidence to support the claim that there is a linear correlation between…
- a) Briefly discuss the strengths and weaknesses of correlation coefficients along with the basic sentiment as to what correlation coefficients portray. b) Explain the use of spreadsheet software in business and apply this to the work of a MANAGEMENT accountant. c) State how index numbers can be useful along with their main features, complete with at least TWO examples of an index in use.22, For the three clusters identified in the accompanying Distance Matrix After Second Clustering table, find the average and standard deviations of each numerical variable for the schools in each cluster and compare them with the average and standard deviation for the entire data set. Does the clustering show distinct differences among these clusters? Compute the overall mean and overall standard deviation for each numerical variable. Median SAT Acceptance Rate Expenditures /Student Top 10% HS Graduation % Overall Mean enter your response here enter your response here% $enter your response here enter your response here enter your response here Overall Stdev enter your response here enter your response here% $enter your response here enter your response here enter your response here (Round to two decimal places as needed. Type N if the solution is undefined.) Colleges and Universities School…