The response of the first system is the input to the second system. The second system output i Y (t). If E [X ()) = 2, find E [Y (t)].
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- Estimate sensitivity, specificity, positive predictive value, negative predictive value and prevalence from data in the 2 x 2 table for an infectious disease and its diagnostic test.P4. The least squared method called also the least squared regression method is one of the most commonly used methods in applications . Describe the importance of this method in modeling data. Provide an illustrative example for given data and interpret your results. Using your example illustrate the importance of the results.An engineer wants to determine how the weight of a gas-powered car, x, affects gas mileage, y. The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. Complete parts (a) through (d) below. LOADING... Click here to view the weight and gas mileage data. Question content area bottom Part 1 (a) Find the least-squares regression line treating weight as the explanatory variable and miles per gallon as the response variable. ModifyingAbove y with caretyequals=enter your response herexplus+(enter your response here) (Round the x coefficient to five decimal places as needed. Round the constant to one decimal place as needed.)
- divide a data set into four equal parts, whereas divide it into one hundred equal parts. Quartiles percentiles Percentiles quartiles Measures of variation measures of central tendency Fences Z-ScoresEstimate sensitivity, specificity, positive predictive value, negative predictive value and prevalence from data in the 2 x 2 table for an infectious disease and its diagnostic test.Suppose that X, Y, and Z are jointly distributed random variables, that is, they are defined on the same sample space. Suppose that we also have the following. E(X)=-1 E(Y) = 4 E (Z)=0 Var(X)=20 Var(Y) = 27 Var (Z) = 38 Compute the values of the expressions below. E (5Z-2) = 0 2Z+X -5 Var(2X-3) = 0 E = E (32²) = 0 Explanation Check X O hp Ⓒ2022 McGraw Hill LLC. All Rights Reserved. Term
- 70. College Costs The table lists the average tuition and fees (in constant 2014 dollars) at public colleges and universi- ties for selected years. Year 1984 1994 2004 2014 Tuition and Fees (in 2014 dollars) 12,179 16,188 7626 9386 Source: National Center for Education Statistics. (a) Find the equation of the least-squares regression line that models the data. (b) Graph the data and the regression line in the same viewing window. (c) Estimate the cost in 2009. (d) Use the model to predict the cost in 2019.From the parameter estimation output, which of the following is FALSE? Coefficients Standard Error t Stat p-value 0.783 0.0159 Intercept Diameter (mm) of granules of sand -2.476 -3.161 17.159 2.034 8.438 0.000065 For a one-unit increase in the independent variable, the predicted-y is decrease by – 2.476. The independent variable is significant. For a one-unit increase in the independent variable, the predicted-y is increase by 17.159. The predictor variable is significant.Accounting The following information is available regarding the total repair costs of Comfort Designs Company for six months of 2022: Month Units Produced Repair costs January 1,500 14,875 February 1,750 15,500 March 1,000 12,250 April 1,250 16,250 May 1,875 18,250 June 2,250 21,750 Using the least-square regression analysis on Excel, construct a cost formula. Run a regression analysis on the data above and provide your response to the following three questions. SHOW WORK (1) Provide the regression output and construct a cost model. (2) According to the cost model, what is the estimated total fixed cost? (3) According to the cost model, what is the estimated variable cost per unit?
- 3. Regression analysis breaks scores on the DV into... (explain and give equations)[STATISTICS] How do you solve this?Question 19 Lucille, Rocio, and Cristina are all taking College Mathematics but from different professors. They all recently took a statistics exam and the exam scores were normally distributed in each of their classes. • Lucille's class had an average grade of 77 and the standard deviation was 4. Lucille earned 84.2 on the exam. Rocio's class had an average grade of 85 and the standard deviation was 3. Rocio earned 85.6 on the exam. Cristina's class had an average grade of 85 and the standard deviation was 5. Cristina earned 91.5 on the exam. Since some professors give harder exams than others, these students decided to use statistics to figure out who did the best on their exam. Use the Cumulative Z-Score Table to answer the following questions. Write your answers as a percent with two decimal places. Hint • Lucille's score places her above % of her class. % of her class. Rocio's score places her above % of her class. • Cristina's score places her above Which person has the highest…