ITM Final Exam
Lower tail
Alternative hypothesis, U<Variable, then it is a ___ test
Upper tail
Alternative hypothesis, U>Variable, then it is a ____test
Must be about a population and must deal with equality
Characteristics of a null hypothesis
X % of the total fluctuation around Y
Coefficient of determination interpretation
Type 2 error
Failure to reject a false null hypothesis, type of error considered a beta probability
Type 1
If a researcher rejects a true hypothesis, she has made a _______ error
if the null hypothesis is true, we reject it 1% of the time
If a test hypothesis has a Type 1 error probability of .01, we mean
a one-tail test should be utilized
If an economist wishes to determine where there is evidence that average family income community exceeds $25,000, what test should he utilize?
19
If we are testing for the difference between the means of 2 related populations with samples of n1=20 and n2=20 the number of degrees of freedom is equal to
no error
If, as a result of a hypothesis test, we reject the null hypothesis when it is false, then we have committed a...
the estimated average of Y increases by 2 units for each increase of 1 unit in X1, holding X2 constant
In a multiple linear regression problem involving 2 independent variables, if b1 is computed to be +2.0, it means that...
Has to fall between 0 and +1
In a multiple regression model, the value of the coefficient of multiple determination
It can be negative
In a multiple regression what is true of the value of the adjusted r2?
the variation around the line of regression is the same for each X value
In performing a regression analysis involving two numerical variables, x and y, we assume
Used to test the statistical significance of each B
In simple linear regression, the t-statistic or t-ratio is...
H0: ud=0
In testing for differences between the means of two related populations, the null hypothesis is...
a test for the difference between the means of 2 related populations
In what type of test is the variable of interest the difference between the observations rather than the observations themselves?
a two tail test for u is used
It is possible to directly compare the results of a confidence interval estimate to the results obtained by testing a null hypothesis if...
Linear trend, quadratic trend, exponential trend
Models that can be used to make predictions about long-term values of a time series are...
H0: B1=0
Null hypothesis for testing whether there is a linear relationship
Reject null
P-Value< alpha
Fail to reject the null
P-value > alpha
Type 1 error
Reject a true null hypothesis, considered a serious type of error, type of error considered alpha
False
T/F: Suppose, in testing a hypothesis about a population, the Z test statistic is computed to be 2.04. The null hypothesis should be rejected if the chosen level of significance is .01 and a two-tailed test is used
False
T/F: The larger the p-value, the more likely one is to reject the null hypothesis
False
T/F: for a given level of of significance, if the sample size is increased, the probability of committing a Type 1 error will increase
measures the proportion of variation in Y that is explained by X1 and X2
The coefficient of multiple determination r2
SSE
The least squares method in simple linear regression minimizes...
Trend
The overall upward or downward pattern of the data in an annual time series will be contained in the ________component
populations are approximately normal
The t test for the difference between the means of 2 independent populations assumes that the respective
populations are approximately normal
The t-test for the difference between the means of two independent populations assumes that the respective...
False
True or False: A regression had the following results: SST=82.55, SSE=29.85. It can be said that 73.4% of the variation in the dependent variable is explained by the independent variables in the regression
True
True or False: A trend is a persistent pattern in annual time-series data that has to be followed for several years
True
True or False: The coefficient of multiple determination r2 measures the proportion of variation in Y that is explained by X1 and X2
True
True or False: The interpretation of the slope is different in a multiple linear regression model compared to a simple linear regression model
False
True or false: When we test for differences between the means of 2 independent populations, we can only use a two-tailed test
True
True or false: when testing for differences between the means of 2 related populations, we can use either one-tailed or two-tailed test
n1+n2-2
Two sample independent equation for degrees of freedom
It gives greater weight to the earlier observation in the series
What abut the method of smoothing is not true
the model is a better predictor of Y than the sample mean, y bar
What do we mean when we say that a simple linear regression model is "statistically" useful?
Moving averages
What should not be used for short-term forecasts into the future?
The current smoothed value becomes the forecast
When using the exponentially weighted moving average for purposes of forecasting rather than smoothing...
Two tailed
alternative hypothesis is not equal to the variable, then it is a ______test
there is no unexplained variation
if the coefficient of determination (R2) is 1.00 then...
the proportion of total variation that is explained
the coefficient of determination (r2) tells us
the estimated average change in y per unit change in x
the slope (b1) represents
the variation around the sample regression line
the standard error of the estimate is a measure of
predicted value of Y when X=0
the y-intercept (b0) represents