(Answer True or False) One of the consequences of the non-normality of the errors is that the estimates become biased in the regression equation.
(Answer True or False) One of the consequences of the non-normality of the errors is that...
One of the consequences of collinearity in multiple regression is inflated standard errors in some or all of the estimated slope coefficients. True False
As is the case with residuals from regression, the forecast errors for non-regression methods will always average to zero. True False
1-The answer is true or false a-Random errors arise from both measurement errors and sampling variation. True False b-Sampling variability stems from inaccuracies in assessing the exposure and disease occurrence. True False c-Just like bias and confounding, random errors are considered systematic errors. True False d- In addition to the p-value, the confidence interval is another method for estimating the amount of random error in epidemiological studies. True False
4. True/False. You must justify your answer. If your regression suffers from imperfect multicollinearity, your estimated coefficients will be biased We should always interpret the coefficient on a (non-dummy) control variable as the causal effect of changing the control variable by one unit of the dependent variable a. b.
True or false, deterimine the errors, and then write the correct answer in a complete sentence. 1.The metric unit that is less than one whole unit yet not used in medicine to measure length is the micrometer.
Answer each question by writing TRUE or FALSE 1. For OLS estimators to be linear the explanatory variables must be variable, non- stochastic and fixed in repeated samples. Under the conditions of perfect multicollinearity, the OLS estimators are not unique. The presence of heteroskedasticity causes the OLS method to overestimate the variances 2. 3. of the parameters. The Breusch-Godfrey LM test is applicable when a lagged dependent variable is used. If we include a non-influential variable in an equation the...
1. Carefully go through each statement. Answer true or false with explanation (only answers with an explanation will gain credit). (a) In a regression model, a stochastic regressor is an explanatory variable that has a random component (4 marks] (b) When a stochastic regressor is used in a regression model, OLS regression estimates will be biased. [4 marks] (c) Heteroscedasticity occurs when the disturbance term in a regression model is correlated with one of the explanatory variables. [4 marks] (d)...
Nonparametric tests such as spearmans Rho make no assumptions about normality? true or false?
True or false, determine the errors and write a correct answer. 1. Drops are usually compared with ounces.
True or False, determine the errors and write a correct answer. 1. The cubic centimer may be phased out of medical documentation and replaced with the cubic milliemeter.