and determine conditions for their local asymptotic stability: dP p2 BP(1 – P) - Z - | dt + p2 dZ p? - -). %3D dt + p2 1004)

E sci rev, erx A Your wori X A SCHOOL x Content Quiz Cha x Quiz Cha x A coker.blackboard.com/webapps/blackboard/content/contentWrapper.jsp?content_jd%3 464269 1&displayName%-DQuiz+Chapters+7++10&c. OLO Central L + á AT-203-W3 Module 7: Regressions Quiz Chapters 7 - 10 Completed 0 of 4 Questions 2 3 4 > O Save A Finish Question15 (T poimt) A national survey reports that the average number of screens (TVs, computers, tablets, and smartphones) in a single-family household 12.2, with a standard deviation of 5.12. You believe that average may be different in Hartsville. You collect a sample of 35 households in Hartsville, and find that the average number of screens is 10.82. Follow the outline to test the hypothesis at a significance level of a = 0.05: Ho : µ = 12.2 H. : µ # 12.2 Identify the critical z-score for a significance level of a = 0.05 Select your answer from one of the following options. O a. z. = ±2.33 O b. z. = ±1.96 O C. z. = 2.33 O d. z. = 1.64 O e. z. = -1.64 Which of the…

11) A simple linear regression model based on 20 observations. The F-stat for the model is 21.44 and the SSE is 1.41. The standard error for the coefficient of X is 0.2. a) Complete the ANOVA table. b) Find the t-stat of the co-efficient of X c) Find the co-efficient of X.

An economist wants to quantify the offect of olectricity prices on the real economy. By using quarterly data, ho estimated an FDL model over 1950:01 - 200304 and obtained the following result: Ý = 1.2-0.007E, -0.014E,-0.019E, 2-0.024E, 3-0.038E, -0.013E, 0.006E,-0.009E, +0.006E, where Y, is the quartorly percontage change in GDP (i.e. = 100ln(GDP/GDP.) and GDP, denotes the value of quartorly gross domestic product in an economy.). E, is the percentage point difference between electricity prices at date t and thoir maximum value during the past 5 years Suppose that eloctricity prices jump 27% above their previous peak value and stay at this new higher lovel (so that E, 27 and E En2 - 0). Calculate the prodicted (percentage point) offect on output growth for each quartor over the noxt 2 yoars. (Round your responses to two decimal places.) The immediate effect on output in the current period is percent. percent percent percent After 1 quarter - After 2 quarter After 3 quarter

We are interested in studying cigarette demand by young adults. Lets consider thefollowing model:     ncaj = β0 + β1price + β2age + β3income + u a)Consider now an extension of the model  that allow the effect of theprice to differ by age. Holding all other factors fixed, is the effect of price onncaj constant? (This part is theoretical and you do not have to estimate themodel.)  b) Now consider the following model:ln(ncaj) = β0 + β1ln(price) + β2age + β3income + u  Using the same sample above we have obtained the following results:ln\(ncaj) = 1.17− 0.69price + 0.06age + 0.009income Is there enough evidence to say that an increase of 1000 dollars in income,while keeping price and age fixed, increases cigarette consumption by lessthan 1%?

Consider a model with an interaction term between being female and being married. The dependent variable is the log of the hourly wage: log(wage) = 0.151 - 0.038 female + 0.1 married - 0.301 female* married + 0.079 educ + 0.027 exper+0.029 tenure (0.072) (0.056) (0.055) (0.007) (0.005) (0.007) n = 536, R2 = 0.461 Numbers in parantheses are standard errors of coefficients. Given the estimation result and the observation number fill in the blanks below which aim at discussing the statistical significance of variables. The test statistic of the interaction term is The critical value at 1% significance level is Then the interaction term statistically significant at 1% significance level. (Hint: to fill the blank make a choice between "is" and "is not".)

O Suppose amultiple Regression Model 9 = B. + R, X1 +. . +RXk+ E ory=xB+E @EStiMate BS . O show that Bis unbiaS.

How can we make predictions using a fitted model in R?

The parameter “∆uv” helps to determine the colour balance of LiquidCrystal Display (LCD) panels on a manufacturing line. The targetvalue, upper and lower specification limits for the product are ∆uv =0.0000, ∆uv = 0.0200 and ∆uv = –0.0200 respectively, where ∆uv is aunitless parameter.Prior knowledge of the process provides evidence that ∆uv variesrandomly. Recent measurements at final test indicate that the meanvalue of ∆uv is –0.0027 and the standard deviation is 0.0057.     100,000 units of that LCD panel are produced, Calculate the number of panels that falls below, and the number of panels that falls above, the specification limits

A sociologist investigating the recent upward shift in homicide trends throughout the country studied the extent to which the homicide rate per 100 000 people (v) is associated with population size in thousands (x ), the rate of unemployment (x,), and the percentage of families with annual incomes less than R24 000 (x3). Data are provided in the table for a sample of 20 cities. A regression analysis was performed on the data and the results indicated that the interaction model E(y) = B,+ Bx + Bx, + Bx; + B,xqx,+ B;xx; + Bzxzx; was a good model to fit to the data. %3D However, the residual plot for this model indicates that heteroscedasticity may exists for the percentage of families with annual incomes less than R24 000. How do I Conduct a test for heteroscedasticity by dividing the data into two subsamples, x,21 and x, > 21 using MSE for the first subsample = 582.3, MSE for the second subsample = 364.7 and a= 0.05. And how do I explain my conclusion.