I am entering information from a sample question for drawing a scatterplot and finding the linear regression equation. I have copied the example exactly and keep coming up with the same two problems. 1. I am able to make the scatter plot but cannot produce a graph when I press graph. 2. My Line Reg equation is slightly different than the example, eventhough I have entered the same calculations as the example. I have noticed value differences in other equations too. What could be causing this? Thank you!

What is the question?
Put your calculator in STAT mode (2-var statistics or regression )
Enter your data in two lists, preferably sorted according to the x-value
Choose a regression model from the ones available and get the calculator to give you the best fit.
However to see which regression model best fits you data you need a graphing calculator to draw the scatter plot, then superpose on the scatter plot the curve of best fit given by the regression model.

Once you accept a model as the most suited one, you can use the equation of the curve to predict a y-value given an x-value (what ever REAL LIFE meaning they might have)
.

You have attempted to use, edit, or delete an archived variable. For example, the expression dim(L1) produces an error if L1 is archived

After you enter the data draw the SCATTER plot first.
When you perform the (linear) regression analysis LineReg, save the regression equation to a function, for example Y1
The syntax is
LineReg L1, L2, Y1 ENTER


From the Stat>CALC menu press LineReg
The command echoes on command line
Press [2nd][1] to enter the L1 list on command line
Press [,] to separate
Press [2nd] [2] to enter L2 on the command line
Press [,] the comma again
Press [VARS][>][Y-Vars][1~Function][1:Y1] [ENTER]
Press [GRAPH] to have the regression line equation drawn
on the same screen as the Scatter Plot you drew before.

The general answer is no. However the calculator can be used to find the slope and the y-intercept. You write the formula for the rate of change (a) and use the calculator to calculate it. Then you use the formula to find the y-intercept.
If you have 2 points, you can use the 2 -var statistics program to find a linear regression.

I am sorry but I will have to assume that you know how to enter the data.

Once you enter your data [MENU][STAT], press [F1:Graph], select Gph1, Gph2, or Gph3. Once the graph of the experimental data is drawn, you will have access to the diverse regression models. Your choices are [X:Linear] [Med-Med], [Quadratic :X^2] [Cubic;X^3] [Quartic: X^2]. Press [F6] to scroll right to access the others: [Logarithmic:LOG], [Exponential :EXP], [Power :Pwr] and [Sinusoidal: Sin]

After you select a model and press [EXE], the screen displays the equation and its various coefficients. On that same screen, you have a menu option [F6:Draw]. If you select it, the regression curve will be drawn on the same screen as your statistical graph. This allows you to judge if the fit is good. If it is not, you have the option to choose another model.
The other option [F5:Copy] allows you to save the regression equation in the Y1, Y2, etc. variables.

PS If you do not know how to enter data post a comment to this effect and I will see what I can do to help you.

I am sorry but I will have to assume that you know how to enter the data.

Once you enter your data [MENU][STAT], press [F1:Graph], select Gph1, Gph2, or Gph3. Once the graph of the experimental data is drawn, you will have access to the diverse regression models. Your choices are [X:Linear] [Med-Med], [Quadratic :X^2] [Cubic;X^3] [Quartic: X^2]. Press [F6] to scroll right to access the others: [Logarithmic:LOG], [Exponential :EXP], [Power :Pwr] and [Sinusoidal: Sin]

After you select a model and press [EXE], the screen displays the equation and its various coefficients. On that same screen, you have a menu option [F6:Draw]. If you select it, the regression curve will be drawn on the same screen as your statistical graph. This allows you to judge if the fit is good. If it is not, you have the option to choose another model.
The other option [F5:Copy] allows you to save the regression equation in the Y1, Y2, etc. variables.

PS If you do not know how to enter data post a comment to this effect and I will see what I can do to help you.

Start by creating the data lists.

CREATE THE X-LIST

1. Press Home.
   
2. Use navigation pad to Highlight [3: Lists and Spreadsheets]
3. Press Enter
   
4. A list opens with cursor in Cell A1.
   
5. Use UpArrow to move the cursor to the header of the list and give it a name, say X.
6. Press Enter. Cursor moves to Cell A1
7. Enter an X-value in each cell and press ENTER to move to next cell:
   
8. Type 1, and press ENTER. Say Yes to overwrite message by pressing OK.
9. Enter 2,3,4,5,6,7,8,9,10 (just a bogus sample).

CREATE THE Y-LIST

1. After typing 10 in cell A10, press ENTER to validate.
2. Use the Navigation pad to move cursor to the head of the B column.
3. Give it a name , say Y.
4. Press ENTER, Cursor moves to cell B1.
5. As for X-list, enter the Y values. Here is a sample (-2, -1, 0, 1,2,3,4,5,6,7). After you type value in B1, accept the overwrite message by pressing OK. Type the other values.
6. Make sure that the X-List and Y-List have the same number of elements, otherwise you will have a dimension mismatch error.

DOING A REGRESSION

1. While the lidt is still displyed, prress the Menu key
2. Highlight [4:Statistics]
3. Use Right Arrow to unfold submenu list and select [1:Stat Calculations]
4. Use right Arrow to unfold the submenu list and
5. Select [3:Linear regression (mx+b)] or [4:linear regression (ax+b)]

That is what you see.

Using Tab to move from one line to the next, configure the calculator as seen on the next screen.

And the last line is at the bottom of the next screen capture


The statistical results will hence be displayed in the C[] column.
Use TAb to move focus to OK, and press ENTER.
Here they are.


You can recognize each statistical results, RegEq is y=mx+b. You also have m, b, r^2, and r. The residuals appear on the next row. By highlighting the cell with the {0.,0...0} you can display the hidden values


Here you have all you asked for. But you can go further by drawing the curve.

The regression equation is stored in function f1, so you have to draw the f1 function. .

DRAWING THE REGRESSION CURVE

Press the HOME button
Highlight and select [2:Graphs and Geometry]
At the bottom of the screen there is a command line with f2(x)=
Use the UpArrow to display the f1(x)= equation


Press ENTER to draw the function f1


I think I have to stop here. There is enough material to get you started.
I left for you the part where you draw the data points. read the user manual.

Although the coefficient of correlation is well defined for a few regression models, you do not calculate it directly because your calculator does that for you.
I could just tell you that it is displayed along with the statistical results (equation of best fitting curve, ) but if you do not know how to do that you will just shoot my post. If you know how to do a linear regression, stop right here and ignore what follows.

For those interested: How to do a regression on the calculator
I am sorry but I will have to assume that you know how to enter the data through the [MENU][STAT].

1. After you finish entering all the data
2. Press [F1:Graph], select Gph1, Gph2, or Gph3.
   
3. Once the graph of the experimental data is drawn, you will have access to the diverse regression models.
   
4. Your choices are
   
5. [X:Linear]
   
6. [Med-Med],
   
7. [Quadratic :X^2]
   
8. [Cubic;X^3]
   
9. [Quartic: X^4].
10. Press [F6] to scroll right to access the others
11. [Logarithmic:LOG],
    
12. [Exponential :EXP],
    
13. [Power :Pwr] and
    
14. [Sinusoidal: Sin]
    

After you select a model and press [EXE], the screen displays the equation and its various coefficients, a correlation coefficient if it has meaning, etc.
On that same screen, you have a menu option [F6:Draw]. If you select it, the regression curve will be drawn on the same screen as your statistical graph. This allows you to judge if the fit is good. If it is not, you have the option to choose another model.
The other option [F5:Copy] allows you to save the regression equation in the Y1, Y2, etc. variables.

Hello,
I am sorry but I will have to assume that you know how to enter the data.
Once you enter your data [MENU][STAT], press [F1:Graph], select Gph1, Gph2, or Gph3. Once the graph of the experimental data is drawn, you will have access to the diverse regression models. Your choices are [X:Linear] [Med-Med], [Quadratic :X^2] [Cubic;X^3] [Quartic: X^2]. Press [F6] to scroll right to access the others: [Logarithmic:LOG], [Exponential :EXP], [Power :Pwr] and [Sinusoidal: Sin]
After you select a model and press [EXE], the screen displays the equation and its various coefficients. On that same screen, you have a menu option [F6:Draw]. If you select it, the regression curve will be drawn on the same screen as your statistical graph. This allows you to judge if the fit is good. If it is not, you have the option to choose another model.
The other option [F5:Copy] allows you to save the regression equation in the Y1, Y2, etc. variables.

Hope it helps.

Hello,
Once you enter your data [MENU][STAT], press [F1:Graph], select Gph1, Gph2, or Gph3. Once the graph of the experimental data is drawn, you will have access to the diverse regression models. Your choices are [X:Linear] [Med-Med], [Quadratic :X^2] [Cubic;X^3] [Quartic: X^2]. Press [F6] to scroll right to access the others: [Logarithmic:LOG], [Exponential :EXP], [Power :Pwr] and [Sinusoidal: Sin]
After you select a model and press [EXE], the screen displays the equation and its various coefficients. On that same screen, you have a menu option [F6:Draw]. If you select it, the regression curve will be drawn on the same screen as your statistical graph. This allows you to judge if the fit is good. If it is not, you have the option to choose another model.
The other option [F5:Copy] allows you to save the regression equation in the Y1, Y2, etc. variables.

Hope it helps.