Consider the following regression model, log(CON)=B0 + B1INC + B2INC2 + B3PRICE + u Vhere CON = Household consumption expenditure INC = Household income INC? = Household income squared PRICE = General price level 中 Regression Estimates- Dependent variable: log(CON) Variables Coefficient Estimates and (Standard Errors) Equation 1 Equation 2 Constant 1.2136 1.5731 (0.1961) (0.0849) INC 0.0029 (0.001) INC? 0.0013 (0.00051) PRICE -0.0081 -0.0095 (0.0035) (0.0017) N (Number of Observations) SSR (Sum of Squared Residuals) R? 500 500 145.63 184.09 0.52 0.45 bu wanted to test whether income has significant effect on household consumption. Which of the llowing represents the approximate critical value for this test at 1% level of significance? 100 0 00

A regression was run to determine if there is a relationship between the happiness index (y) and life expectancy in years of a given country (x).The results of the regression were: y=a+bxa=-0.797b=0.181 (c) If a country increases its life expectancy, the happiness index will increase decrease (d) If the life expectancy is increased by 1 years in a certain country, how much will the happiness index change? Round to two decimal places.

Suppose a data set of 200 observations (n = 200) was analyzed using OLS to examine the relationship between CEO salary and various measures of firm performance. The regression results are as follows, with standard errors in parentheses: logy = 5 + 0.2logx₁0.03x₂ +0.002x3 (0.2) (0.04) (0.004) where? (0.009) y = CEO salary in thousands of dollars X₁ = annual firm sales X₂ = percentage of sales lost to competitors X3 = return on stock in percent R² = 0.290 Suppose you want to test the null hypothesis that percentage of sales lost to competitors has no ceteris paribus effect on the salaries of CEOS. For the one-sided alternative hypothesis ß₂ < 0 and 1% rejection rule (i.e., at the 1% level), you would_ the null hypothesis that ß₂ = 0.

A well-balanced stock market portfolio will often experience an exponential growth. A particular investor with a well-balanced stock market portfolio records the portfolio balance every month, in thousands of dollars, from the date of investment. The roughly exponential growth can be transformed to a linear model by plotting the natural log of the balances versus time, in months, where t = 0 represents the date the money was invested. The linear regression equation for the transformed data is   Using this equation, what is the predicted balance of the portfolio after 2 years (24 months)? (A) $5,654 (B) $6,798 (C) $285,431 (D) $896,053 (E) $948,464

Find out the regression equation showing the regression of capacity utilisation on production from the following data: Average Standard Deviation Production (in lakh units) 35.6 10.5 Capacity Utilisation (in percentage) 84.8 8.5 r = 0.62 Estimate the production, when capacity utilisation is 70%. x =?, y = 70% =0.7

The regression slope predicts the change in Y per unit change in X.   True False

Consider a linear regression model for the decrease in blood pressure (mmHg) over a four-week period with muy=2.8+0.8x and standard deviation chi=3.2. The explanatory variable x is the number of servings fruits and vegetables in a calorie-controlled diet. Explain clearly what this slope says about the change in the mean of y for a change in x.

Describe regression variation in terms of variation in Y.

Run a simple linear regression in SPSS to know if previous experience (‘prevexp’: Previous Experience-months) significantly predicts current salary(‘salary’: Current Salary) in the work force .  Use α =.05 Is the regression equation significant? That is, does Previous Experience  explains (or predicts) a significant amount of variability in Current Salary? Report the F, df (of numerator, and  df of the denominator) and p-value.

An investigator modeled the log-odds of getting stomach cancer as a function of number of servings of vegetables per week and the number of servings of red mean per week using logistic regression. The odds that a person gets stomach cancer if they have 4 servings of red meat a week are 1.2 times the odds of cancer for someone who has 3 servings of red meat a week. What is the odds ratio for stomach cancer for someone who has 5 servings as opposed to someone who has 3 servings? Enter your answer to 3 digits beyond the decimal point.