Question

Interpret the following non-significant Unstandardized coefficient: b = -3.09

Answer #1

It is given that the unstandarddized coefficient b = -3.09 is non-significant.

Suppose it is nonsignificant with the value zero.

That means from the sample information we cannot conclude that the population coefficient is different from zero. The confidence interval of the corresponding population coefficient based on b include zero.

From this non-significance we also conclude that the independent variable corresponding to this coefficient is not usefull for estimating values of the dependent variable.

Interpret the following non-significant Unstandardized
coefficient: b = -3.09

interpret the below. What do B and t mean
Coefficientsa
Model
Unstandardized
Coefficients
Standardized
Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
7.029
.059
119.307
.000
Q1. Age
.027
.001
.090
17.839
.000
a. Dependent Variable:
Trust in Government Index (higher scores=more trust)

Interpret the table below
Coefficientsa
Model
Unstandardized
Coefficients
Standardized
Coefficients
t
Sig.
Collinearity
Statistics
B
Std. Error
Beta
Tolerance
VIF
1
(Constant)
39.825
.876
45.483
.000
Married
11.482
1.092
.256
10.516
.000
.662
1.510
Widowed
1.819
1.761
.023
1.033
.302
.822
1.217
Divorced
4.799
1.395
.080
3.441
.001
.727
1.376
Separated
-1.597
2.606
-.013
-.613
.540
.917
1.091
a. Dependent Variable:
R's socioeconomic index (2010)

How would you interpret a correlation coefficient of A) 0.84
between two variables? B) -0.02? C) -0.54? What is the coefficient
of determination and how do we use it?

Interpret the following significant (at the 0.05 level) odds
ratios (OR) using a percentage change:
1) OR=0.2*
2) OR=1.2*
3) OR=2.5*

If correlation coefficient r = 0.65, what does the coefficient
of determination equal? Interpret your result.

How should a researcher interpret the Pearson’s correlation
coefficient?

The likelihood the student will return to
school:
1. Interpret the coefficient and odds ratio for the variable
GPA:
For return odds 1 versus 0:
Coeffcient is : 1.17932127
Odds ratio is : 3.252166
2. Interpret the coefficient and odds ratio for the variable
Attends office hours
Coefficient: -0.0976308
Odds ratio: 0.9069837

3. Briefly interpret the estimated slope coefficient in each one
of the following models. Next, compute. the unit change in (y) as a
result of a one unit increase in (x) according to each model given
that ?0 = 154 ??? ?0 = 10.
a. ?̂? = 183 + 120.5 ln ?
b. ??̂?? = 150 + 0.019?
c. ??̂?? = 70 + 3.5 ln ?

When is Fis(Inbreeding coefficient) significant?

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