Question
In: Statistics and Probability
In a single variable regression analysis the respective values for the variables are as follows: Independent...
In a single variable regression analysis the respective values for the variables are as follows: Independent variable: 2.00, 7.00, 11.00, 16.00, 13.00, 14.00, 1.00, 12.00, 19.00, 9.00. Dependent variable: 58.78, 44.64, 33.27, 16.04, 26.72, 24.89, 63.11, 28.41, 7.66, 39.20. What is the predicted value of the dependent variable when the independent variable is equal to 15.00?
Solutions
orchestra answered 1 year agoRelated Solutions
Regression and Correlation Analysis Use the dependent variable (labeled Y) and one of the independent variables...
Regression and Correlation Analysis
Use the dependent variable (labeled Y) and one of the
independent variables (labeled X1, X2, and X3) in the data file.
Select and use one independent variable throughout this analysis.
Use Excel to perform the regression and correlation analysis to
answer the following.
Generate a scatterplot for the specified dependent variable (Y)
and the selected independent variable (X), including the graph of
the "best fit" line. Interpret.
Determine the equation of the "best fit" line, which...
1- In discriminant analysis, the dependent variable is ________ and the independent variables are ________ in...
1-
In discriminant analysis, the dependent variable is ________ and
the independent variables are ________ in nature.
a
interval; categorical
b
ordinal; interval
c
categorical; interval
d
ordinal; categorica
2-
s one of the statistics associated with discriminant analysis,
________ are obtained when the unstandardized coefficients are
multiplied by the values of the variables and the products are
summed and added to the constant term.
a
Wilks' λ
b
discriminant scores
c
discriminant function coefficients
d
eigenvalue
1- In discriminant analysis, the dependent variable is ________ and the independent variables are ________ in...
1-
In discriminant analysis, the dependent variable is ________ and
the independent variables are ________ in nature.
a
interval; categorical
b
ordinal; interval
c
categorical; interval
d
ordinal; categorica
2-
s one of the statistics associated with discriminant analysis,
________ are obtained when the unstandardized coefficients are
multiplied by the values of the variables and the products are
summed and added to the constant term.
a
Wilks' λ
b
discriminant scores
c
discriminant function coefficients
d
eigenvalue
In a multi linear regression case study, the dependent variable is house_value, the independent variables are...
In a multi linear regression case study, the dependent variable
is house_value, the independent variables are house_age,
crime_rate, tax_rate, trying to build a model to predict the house
value, how to state model assumptions? What's the assumption in
this case? Thanks!
If I ran a multivariate regression analysis for the effect of independent variables X and Y...
If I ran a multivariate regression analysis for the
effect of independent variables X and Y on dependent variable A,
that produced an adjusted R^2 of .0553, then added the independent
variable Z to the analysis and got an adjusted R^2 of .0550, would
that decrease in the adjusted R^2 translate to the independent
variable Z not being a strong predictor of the dependent variable
A? If it were a strong predictor of A would the adjusted R^2
increase?
According to Pollock and Edwards, a multiple regression analysis contains at least __ independent variables a....
According to Pollock and Edwards, a multiple regression analysis
contains at least __ independent variables
a.
0
b.
1
c.
2
d.
none of the above
According to Pollock and Edwards, the .05 threshold suggests
that researchers wish to commit _____ less than five times out of
100 tests.
a.
individual fallacy
b.
Type I error
c.
Type II error
d.
ecological fallacy
According to Pollock and Edwards, a p-value determines the exact
probability of obtaining the observed sample difference...
A) A sample of 13 observations collected in a regression study on two variables, x(independent variable)...
A) A sample of 13 observations collected in a regression study
on two variables, x(independent variable) and y(dependent
variable). The sample resulted in the following data.
summation (x_i-xbar)2=14, summation
(x_i-xbar)(y_i-ybar)=72, xbar=3, ybar=10
Calculate the y-intercept (b_0) of the estimated regression
equation.
B) A sample of 9 observations collected in a regression study on
two variables, x(independent variable) and y(dependent variable).
The sample resulted in the following data.
summation (x_i-xbar)2=14, summation
(x_i-xbar)(y_i-ybar)=79, xbar=3, ybar=10
Calculate the slope of the estimated regression equation.
a) A sample of 8 observations collected in a regression study on two variables, x(independent variable)...
a) A sample of 8 observations collected in a regression study on
two variables, x(independent variable) and y(dependent variable).
The sample resulted in the following data.
SSR=66, SST=86
Calculate an unbiased estimate of the variance
of the error term epsilon.
b) A sample of 11 observations collected in a regression study
on two variables, x(independent variable) and y(dependent
variable). The sample resulted in the following data.
SSE=22, SSR=64
Calculate the coefficient of determination for the developed
estimated regression equation.
c)...
The estimated regression equation for a model involving two independent variables and 10 observations follows. Here...
The estimated regression equation for a model involving two
independent variables and 10 observations follows. Here SST =
6,724.125, SSE = 507.75, sb1= 0.0813, and sb2= 0.0567.
= 29.1270 + 0.5906x1 +
0.4980x2
a. Interpret the regression coefficients in this estimated
regression equation.
b. Compute MSE.
c. Use the F test to determine the overall significance
of the relationship among the variables. Use α = 0.05.
d. Perform a t test for the significance of
x1. Use a 0.05 level...
The estimated regression equation for a model involving two independent variables and 10 observations follows. Here...
The estimated regression equation for a model involving two
independent variables and 10 observations follows. Here SST =
6,724.125, SSE = 507.75, sb1= 0.0813, and sb2= 0.0567.
= 29.1270 + 0.5906x1 +
0.4980x2
a. Interpret the regression coefficients in this estimated
regression equation.
b. Compute MSE.
c. Use the F test to determine the overall significance
of the relationship among the variables. Use α = 0.05.
d. Perform a t test for the significance of
x1. Use a 0.05 level...
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