Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
1
vote
0answers
9 views
error in estimation with continuous data (New to Statistics)
I was wondering if anyone had a solution or direction for me to look in regarding error estimation in continuous data. My specific problem is dealing with spectroscopic data, but if you have more ...
1
vote
2answers
41 views
Line of best fit (Linear regression) over vertical line
I want to get a line of the best fit which is a line that passes as close as possible to a set of points defined by coordinates point_i = (X_i, Y_i).
When I apply linear regression, I have a special ...
3
votes
1answer
150 views
A measure of overall variance from multivariate Gaussian
I am performing some regression task, where I try to discover the underlying multivariate Gaussians from a set of $n$, $p$-dimensional vectors. For example, given a split of the set into $S_i$ and ...
0
votes
0answers
17 views
spss 20 for mac: how to get probabilities after running a binary logistic regression [duplicate]
I have a binary variable that I'm investigating in SPSS, inclination_to_dance. I have another linear variable as well, ...
0
votes
0answers
28 views
Standard deviation of errors
I have a multiple regression model (information derived from gretl):
$$Y=‐3,859921 \ln(P)
+
1,707514\,
(A)
+
3,578656$$
$$\quad\quad\space(1,216387)\quad\quad\quad(1,259650)\quad\quad(0,323867)$$
...
0
votes
1answer
62 views
Regression with or without controlled variables?
I wanted to see the impact of small business support programs on small business growth. I regressed their growth (represented by the number of employees) on only those 5 kinds of support programs (as ...
-1
votes
0answers
19 views
Derive variance of the least squares estimator for $\beta$
I want to prove the least squares estimator. Here is my proof:
$\beta = X'(X'X)^{-1} y$
$$Var((\hat \beta - E(\beta)(\hat \beta - E(\beta))'=E(\hat \beta - \beta)(\hat \beta - \beta)'$$
$(\hat ...
0
votes
1answer
93 views
Regression with Time series model
Here is my issue for which I need help. I wanted to see if the different kinds of Supports to small enterprises have have contributed to the development/growth of Small enterprises using 15 years ...
0
votes
1answer
41 views
How to predict the time gap between two conditions
Could anyone suggest the best method to predict the time gap between two events, e.g., given that diabetics are at higher risk of developing hypertension, I would like to predict the time gap for the ...
1
vote
1answer
33 views
Cauchy M estimator of regression in R
Was wondering if anyone knows of an R package to estimate the Cauchy-M estimator of regression (see for example the end of this section, but with simultaneous estimation of the scale parameter as in ...
2
votes
2answers
39 views
Reporting regression equations for non-significant results
Do you report the regression equation for non-significant multiple regressions if you have reported them for significant regressions in the same work?
My paper has six multiple regressions in it. ...
2
votes
1answer
93 views
Standard error for a statistic obtained via simulation
I am simulating the effect of certain conditions on estimates obtained using OLS regression. In running 100 replications I get 100 sets of standard errors for the regression coefficients. How do I ...
2
votes
2answers
120 views
What test should be used to tell if two linear regression lines are significantly different?
I have two lines in a x-y plot:
observed migration distance (y) and predicted migration distance (x)
$$Y=0.95X+0.31,$$ where 0.95 and 0.31 are the slope coefficient and the intercept (p-value = ...
1
vote
1answer
15 views
Chow test multiple variables
great site!
I have collected monthly deals data for how new ships are being finance from 2005-2012. The data consists of "deals" made by different shipping companies and the amount raised in each ...
0
votes
1answer
30 views
Algorithms for regression analysis which can handle large scale datasets
I am a CS undergraduate student and for my final project i developed regression algorithm that is suited for large-scale datasets (i wouldn't say 'Big Data', but still large scale).
For final ...