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Posted on Jan 02, 2017
No need to enter R squared. If it has meaning it will display in the stats variables screen ( 2nd F7 ).
Hope it helps.
Posted on Sep 14, 2009
The correlation coefficient does not have meaning (is not defined) for most regression models. Check you theory to make sure it exits for the sine regression.
An easy way to verify that, is to use the Command DiagnosticOn, accessible through the catalog [2nd] (CATALOG) . Press [X^-1] (D) to jump to first command that starts with D. Scroll down to DiagnosticOn, select it and press [ENTER]. Calculator replies Done.
Do your sine regression again. If the correlation coefficient has meaning for this type of regression, you will find it with the other statistical variables. You may have to scroll down the statistical variable list to verify the whole contents of the list.
Hope it helps.
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Posted on Dec 15, 2009
Read this post. It answers all your questions and shows you HOW to do
find your equation of best fit, correlation coefficients, etc.
Before doing statistics, you have to prepare the calculator by clearing old data that may generate errors.
A. TO CLEAR OLD DATA
To obtain the correlation coefficient in a statistical analysis on the TI8xPlus family of calculators you must activate the DiagnosticsOn option. To access the command
D. ENTER THE DATA
Type in your D (X ) values in L1 and the N (Y) values in L2 (see picture 1). Sorry the picture does not have YOUR values.
TO OBTAIN THE STATISTICAL RESULTS (optional)
Notice the down arrow next to n=7. That means the results screen has more values. Press the down arrow to display.
You notice that the n=7 line now has an arrow pointing Up. Notice the Down Arrow on the bottom line (more data is coming). Here is the rest of the statistical results.
There is no arrow at the bottom of the picture. End of statistical results.
The screen captures with 2-Var Stats summarize all the satistics.
However there is no correlation coefficient, no line of best fit, etc. To obtain that you have to perform a regression analysis.
E. PERFORM A REGRESSION ANALYSIS
To perform a regression analysis, you must try several regression models and then find the one that mimicks the raw data best. In this particular case, you have already decided to do a linear regression, and that is good for me. I do not have the time to take you through all of them. In this step you must select the exponential regression model.
You also have r and its square. You need to read your theory to know which of the two correlation coefficients you have been asked to obtain.
Since you saved the equation in the Y1 function you can draw it. You just have to press GRAPH and it will be drawn. But that will not tell how good the fit is, until you see the function drawn on top of the raw data.
DRAWING THE SCATTER PLOT AND BEST FIT CURVE ON SAME SCREEN
Regardless of the curve of best fit, you can draw a scatter plot as follows.
Here plot1 is active (ON), it is scatter plot (first icon) the Xlist is L1 by default but you can change it to some other list. Notice the highlighted A cursor on XLIST line. It means that the [ALPHA] keyboard is active.
On the line Mark you can choose the appearnce of the raw data point.
And here are your two graphs: the raw data scatter plot and the line of best fit on the same screen. On the picture the ZoomStat option was used.
Now, it is up to you to accept this model or to try another model.
Posted on Mar 15, 2010
Testimonial: "You are brillant. Wish you would write a textbook on how to use this calculator."
SOURCE: I would really appreciate it
The ExpReg command is in the MATH/Statistics/Regression menu. The first two arguments are lists containing the x and y values. An optional third argument is a frequency list. Two additional optional arguments are lists of category codes and a category include list.
Full details are in the manual under ExpReg, page 819 in the version available at
Posted on Mar 01, 2011
SOURCE: how do i find the
Using logarithms. For example, if A ^ X = 2; then X = logA(2);
This calculator only works in base-10 logarithms or natural logarithms, you should use the base conversion formula.
logA(X) = logC(X) / logC(A).
Posted on May 04, 2011
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