te a data file (in SPSS or Excel) that contains the following variables and values:
 VAR1: 3 5 7 6 2 1 4 5 9 5
 VAR2: 9 8 7 6 2 3 3 4 3 2
 VAR3: 10 4 3 5 6 5 4 5 2 9
a. Compute: the mean, standard deviation, and variance for each variable.
b. Create a scatterplot of var1 by var2 and include the regression line.


Here is the scatterplot of VAR1 by VAR2 with the regression line included. 

Would you like further details or have any questions about this analysis? 

Here are some related questions you might find helpful:
1. How is the regression line calculated, and what does the slope represent?
2. What insights can we gain from the scatterplot and regression line?
3. How does correlation between variables relate to the slope in a scatterplot?
4. What role do variance and standard deviation play in understanding data spread?
5. How can we interpret the relationship between VAR1, VAR2, and VAR3?

**Tip:** In scatterplots, a steeper slope often indicates a stronger relationship between the two variables, especially when accompanied by closely clustered points along the line.

Create a data file (in SPSS or Excel) that contains the following variables and values:
- VAR1: 3, 5, 7, 6, 2, 1, 4, 5, 9, 5
- VAR2: 9, 8, 7, 6, 2, 3, 3, 4, 3, 2
- VAR3: 10, 4, 3, 5, 6, 5, 4, 5, 2, 9

Compute:
 a. The mean, standard deviation, and variance for each variable.
 b. A scatterplot of VAR1 by VAR2 with a regression line.

Calculate the mean, standard deviation, and variance for variables VAR1, VAR2, and VAR3, and create a scatterplot of VAR1 by VAR2 with a regression line. This problem includes descriptive statistics and regression analysis, ideal for undergraduate students studying data analysis.

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