iWriteGigs

Fresh Grad Lands Job as Real Estate Agent With Help from Professional Writers

People go to websites to get the information they desperately need.  They could be looking for an answer to a nagging question.  They might be looking for help in completing an important task.  For recent graduates, they might be looking for ways on how to prepare a comprehensive resume that can capture the attention of the hiring manager

Manush is a recent graduate from a prestigious university in California who is looking for a job opportunity as a real estate agent.  While he already has samples provided by his friends, he still feels something lacking in his resume.  Specifically, the he believes that his professional objective statement lacks focus and clarity. 

Thus, he sought our assistance in improving editing and proofreading his resume. 

In revising his resume, iwritegigs highlighted his soft skills such as his communication skills, ability to negotiate, patience and tactfulness.  In the professional experience part, our team added some skills that are aligned with the position he is applying for.

When he was chosen for the real estate agent position, he sent us this thank you note:

“Kudos to the team for a job well done.  I am sincerely appreciative of the time and effort you gave on my resume.  You did not only help me land the job I had always been dreaming of but you also made me realize how important adding those specific keywords to my resume!  Cheers!

Manush’s story shows the importance of using powerful keywords to his resume in landing the job he wanted.

Chapter 12 Connect Quiz

Navigation   » List of Schools  »  California State University, Northridge  »  Marketing  »  Marketing 346 – Market Research  »  Spring 2023  »  Chapter 12 Connect Quiz

Need help with your exam preparation?

Below are the questions for the exam with the choices of answers:

Question #1
A  describes the variation in the dependent variable caused by the control variable.
B  tells you the percentage of the total variation in the independent variable caused by the dependent variable.
C  is a stronger measure than the Pearson correlation coefficient.
D  ranges from .00 to 1.0.
E  ranges from -1.0 to +1.0.
Question #2
A  the Spearman correlation coefficient.
B  multiple regression analysis.
C  simple regression.
D  the Pearson correlation coefficient.
E  bivariate regression analysis.
Question #3
A  The null hypothesis for the Pearson correlation coefficient states that there is always a strong association between two variables.
B  The Pearson correlation coefficient measures the degree of linear association between three variables.
C  The larger the correlation coefficient, the weaker the association between two variables.
D  The null hypothesis for the Pearson correlation coefficient states that the correlation coefficient is zero.
E  The Pearson correlation coefficient measures the degree of linear association that ranges from 1.0 to 10.0.
Question #6
A  the variables we want to analyze have a binomially distributed population.
B  when the correlation coefficient is weak, there is a consistent, systematic relationship between the two variables of interest.
C  the variables have been measured using interval- or ratio-scaled measures.
D  when the correlation coefficient is strong and significant, the two variables of interest are associated in a curvilinear fashion.
E  the relationship we are trying to measure is curvilinear.
Question #7
A  A positive beta indicates that as the size of an independent variable decreases, the size of the dependent variable increases.
B  It ranges from 1.00 to 3.00 and is a positive correlation coefficient.
C  It is an estimated correlation coefficient.
D  It is an F-ratio that has been recalculated to have a mean of 1 and a standard deviation of 0.
E  It shows the change in the dependent variable for each unit change in the independent variable.
Question #8
A  Covariation
B  The non-parametric hypothesis coefficient
C  Beta coefficient analysis
D  Multiple regression analysis
E  Bivariate regression analysis
Question #9
A  a strong association is evident.
B  there is no relationship.
C  an invisible relationship exists.
D  there is a weak association.
E  there is a moderate relationship.
Question #10
A  statistical technique that analyzes the linear relationship between a dependent variable and multiple independent variables by estimating coefficients for the equation for a straight line.
B  statistical procedure that estimates regression equation coefficients that produce the lowest sum of squared differences between the actual and predicted values of a dependent variable.
C  statistic that compares the amount of variation in the dependent measure “explained” or associated with the independent variables to the “unexplained” or error variance.
D  estimated regression coefficient that has been recalculated to have a mean of zero and a standard deviation of 1.
E  situation in which several independent variables are highly correlated with each other.