om one model to the other

Solve the second question in regression analysis

9.2

Which of the following represents the underlying linear model for hypothesis testing?     Y = b0 + b1 X + ε   Y = b0 + b1 X   Y = β0 + β1 X + ε   Y = β0 + β1 X

Which of the following is/are the assumptions of linear models:. The response variable is normally distributed The residuals are normally distributed All the observed units are independent from each other. The relationship between the response variable and the predictors are linear All of the above None of the above.

3. Consider the following regression model: Weekly Hours = Bo + B1 × Wage + uj Weekly Hours is the average number of hours the individual worked over the course of the year and Wage is the individual's average hourly wage over the course of the year. A researcher who collects data and regresses Weekly Hours against Wage finds that B1 > 0. The OLS estimator, B, however, likely suffers from omitted variable bias because those individuals who earn high wages may be driven personalities who would work long hours no matter the wage. Because of this omitted variable bias, it is likely the case that B1_B1. A) В)

Pricilla Phranklin opened her clothing store, Pricilla Phashions, in Downtown Dover a little over three years ago. Pants, skirts, blouses, and shirts have fairly consistent sales, while things like shorts, sweater and outerwear are highly seasonal. On the other hand, dresses are a little harder to predict. Pricilla is hiring you to arrive at the best forecasting method for dresses. The following table contains three years of dress sales data Year 3 Year 1 Year 2 Mont Dema Dema h nd nd nd Jan 186 217 212 Feb 222 220 245 Mar 220 239 252 Apr 356 362 376 720 May 727 757 [1] Jun 367 376 404 Jul 340 341 354 Aug 293 290 324 Sep 305 296 338 Oct 600 600 618 325 318 679 708 4613 4694 Nov Dec Total 1. 2. 3. Dema 4. 5. 356 713 Using the dress data above, calculate the following 4949 Forecast year 3 using a simple 3 period moving average Forecast year 3 Calculate a forecast using the exponential smoothing method. Assume a = 0.20 (a) Using the information you have for years 1 & 2, calculate a…

Foofy obtained a significant Fobt from an experiment with five levels. She therefore concludes that changing every condition of the independent variable results in a significant change in the dependent variable. (a) Is she correct? Why or why not? (b) What must she now do?