BANA Final
The regression model
The equation that describes how the dependent variable (y) is related to the independent variable (x) is called
Qualitative variable
a variable that cannot be measured in numerical terms is called a
Influential Observation
An observation that has strong effect on the regression results is called
P-value
In a goodness of fit test, Excels CHISQ.DIST.RT function returns a
Outlier
A data point (observation) that does not fit the trend shown by the remaining data is called
Correlation Coefficient
A measure of the strength of the linear relationship between two variables is the
A Statistic
A numerical measure from a sample, such as a sample mean, is known as
Sample
A subset of a population selected to represent the population is a
Factor
A term that means the same as the term "variable" in an ANOVA procedure is
In both tails of the sampling distribution
A two-tailed test is a hypothesis test in which the rejection region is
A true null hypothesis is rejected
A type 1 error is committed when
Can be both qualitative & quantitative
All the variables in a multiple regression analysis
Observed values of the dependent variable and the predicted values of the dependent variable
Application of the least squares method result in values of the y-intercept and the slow that minimizes the sum of the squared deviations between the
Value of the coefficient of determination increases
As the goodness of fit for the estimate regression equation increases, the
The value of the multiple coefficient of determination increases
As the goodness of fit for the estimated multiple regression equation increases
Normal Probability Distribution
As the sample size becomes larger, the sampling distribution of the sample mean approaches a
Influential
Data points having high leverage are often
Also not be rejected at the 1% level
If a hypothesis is not rejected at a 5% level of significance, it will
Horizontal band of points centered near 0
In a residual plot against x that does NOT suggest we should challenge the assumptions of our regression model, we would expect to see a
n-1
In determining an interval estimate of a population mean when sigma is unknown, we use t distribution with how many degrees of freedom
CHISQ.DIST
In excel which function is used to conduct a hypothesis test (using the p value) for a population variance
Multicollinearity
In multiple regression analysis, the correlation among the independent variables is termed
Accomodate curvilinear relationships between independent variables and dependent variable
In multiple regression, the general linear model can
Dependent Variable
In regression analysis the variable that is being predicted is the
Can be any units
In regression analysis, if the dependent variable is measured in dollars, the independent variable
X-axis of a scatter diagram
In regression analysis, the independent variable is typically plotted on the
Dependent Variable
In regression analysis, the variable that is being predicted is the
Different levels of a factor
In the ANOVA, treatment refers to
Smaller p-values
More evidence against the null hypothesis is indicated by
One dependent variable and one or more independent variables are related
Regression analysis is a statistical procedure for developing a mathematical equation that describes how
one dependent and one or more independent variable are related
Regression analysis is a statistical procedure for developing a mathematical equation that describes how
Larger than SST
SSE can never be
Two or more populations are equal
The ANOVA procedure is a statistical approach for determining whether the means of
Confidence Level
The ability of an interval estimate to contain the value of the population parameter is described by the
the number of independent variables
The adjusted multiple coefficient of determination is adjusted for
Sample Size
The degrees of freedom associated with a t distribution are a function of the
Central Limit Theorem
The fact that the sampling distribution of the sample mean can be approximated by a normal probability distribution whenever the sample size is large is based on
Its corresponding degrees of freedom
The mean square is the sum of squares divided by
Coefficient of Determination
The proportion of the variation in the dependent variable y that is explained by the estimated regression equation is measure by
Value greater than 0
The random variable for a chi square distribution may assume any
X Bar
The sample statistic s is the point estimator of
Chi-Square Distribution
The sampling distribution for a goodness of fit test is the
Chi Square
The sampling distribution used when making inferences about a single populations variance
P-value & Critical Value
Two approaches to drawing a conclusion in a hypothesis test are
An F test
Used to determine whether an additional variable makes a significant contribution to a multiple regression model
Matched Samples
When each data value in one sample is matched with a corresponding data value in another sample, the samples are known as
a multiple regression model
a regression model in which more than one independent variable is used to predict the dependent variable is called
Goodness of fit test
a statistical test conducted to determine whether or not to reject a hypothesized probability distribution for a population is known as
A residual
the difference between the observed value of the dependent variable and the value predicted by using the estimated regression equation is called
Point estimate & Margin of error
the general form of an interval estimate of a population mean or population proportion is the BLANK plus or minus the BLANK
Number of rows minus 1 times the number of columns minus 1
the number of degrees of freedom for the appropriate chi-square distribution in a test of independence is
t distribution should be used when
the sample standard deviation is used to estimate the population standard deviation
sigma squared
the symbol for the variance of the population is
Best Subsets Regression
the variable selection procedure that identifies the best regression equation, given a specified number of independent variables, is