<< Chapter < Page Chapter >> Page >

To deselect equations:

  1. Access the list of equations.
    Y= key

  2. Select each equal sign (=).
    arrow down key arrow right key enter key

  3. Continue, until all equations are deselected.

To clear equations:

  1. Access the list of equations.
    Y= key

  2. Use the arrow keys to navigate to the right of each equal sign (=) and clear them.
    arrow down key arrow right key clear key

  3. Repeat until all equations are deleted.

To draw default histogram:

  1. Access the ZOOM menu.
    ZOOM key

  2. Select <9:ZoomStat> .
    number 9 key

  3. The histogram will show with a window automatically set.

To draw custom histogram:

  1. Access window mode to set the graph parameters.
    window key
    • X min = –2.5
    • X max = 3.5
    • X s c l = 1 (width of bars)
    • Y min = 0
    • Y max = 10
    • Y s c l = 1 (spacing of tick marks on y -axis)
    • X r e s = 1
  2. Access graphing mode to see the histogram.
    graph key

To draw box plots:

  1. Access graphing mode.
    2nd key , [STAT PLOT]

  2. Select <1:Plot 1> to access the first graph.
    enter key

  3. Use the arrows to select <ON> and turn on Plot 1.
    enter key

  4. Use the arrows to select the box plot picture and enable it.
    enter key

  5. Use the arrows to navigate to <Xlist> .
  6. If "L1" is not selected, select it.
    2nd key , [L1] , enter key

  7. Use the arrows to navigate to <Freq> .
  8. Indicate that the frequencies are in [L2] .
    2nd key , [L2] , enter key

  9. Go back to access other graphs.
    2nd key , [STAT PLOT]

  10. Be sure to deselect or clear all equations before graphing using the method mentioned above.
  11. View the box plot.
    graph key , [STAT PLOT]

Linear regression

Sample data

The following data is real. The percent of declared ethnic minority students at De Anza College for selected years from 1970–1995 was:

The independent variable is "Year," while the independent variable is "Student Ethnic Minority Percent."
Year Student Ethnic Minority Percentage
1970 14.13
1973 12.27
1976 14.08
1979 18.16
1982 27.64
1983 28.72
1986 31.86
1989 33.14
1992 45.37
1995 53.1

Student ethnic minority percentage

This is a scatterplot for the data provided. Year is plotted on the horizontal axis and percent is plotted on the vertical axis. The points show a strong, curved, upward trend.
By hand, verify the scatterplot above.


The TI-83 has a built-in linear regression feature, which allows the data to be edited.The x -values will be in [L1] ; the y -values in [L2] .

To enter data and do linear regression:

  1. ON Turns calculator on.
    on key

  2. Before accessing this program, be sure to turn off all plots.
    • Access graphing mode.
      2nd key , [STAT PLOT]

    • Turn off all plots.
      number 4 key , enter key

  3. Round to three decimal places. To do so:
    • Access the mode menu.
      mode key , [STAT PLOT]

    • Navigate to <Float> and then to the right to <3> .
      arrow down key arrow right key

    • All numbers will be rounded to three decimal places until changed.
      enter key

  4. Enter statistics mode and clear lists [L1] and [L2] , as describe previously.
    stat key , number 4 key

  5. Enter editing mode to insert values for x and y .
    stat key , enter key

  6. Enter each value. Press enter key to continue.

To display the correlation coefficient:

  1. Access the catalog.
    2nd key , [CATALOG]

  2. Arrow down and select <DiagnosticOn>
    arrow down key ... , enter key , enter key

  3. r and r 2 will be displayed during regression calculations.
  4. Access linear regression.
    stat key arrow right key

  5. Select the form of y = a + bx .
    number 8 key , enter key

The display will show:


  • y = a + bx
  • a = –3176.909
  • b = 1.617
  • r = 2 0.924
  • r = 0.961

This means the Line of Best Fit (Least Squares Line) is:

  • y = –3176.909 + 1.617 x
  • Percent = –3176.909 + 1.617 (year #)
The correlation coefficient r = 0.961

To see the scatter plot:

  1. Access graphing mode.
    2nd key , [STAT PLOT]

  2. Select <1:plot 1> To access plotting - first graph.
    enter key

  3. Navigate and select <ON> to turn on Plot 1.
    <ON> enter key

  4. Navigate to the first picture.
  5. Select the scatter plot.
    enter key

  6. Navigate to <Xlist> .
  7. If [L1] is not selected, press 2nd key , [L1] to select it.
  8. Confirm that the data values are in [L1] .
    <ON> enter key

  9. Navigate to <Ylist> .
  10. Select that the frequencies are in [L2] .
    2nd key , [L2] , enter key

  11. Go back to access other graphs.
    2nd key , [STAT PLOT]

  12. Use the arrows to turn off the remaining plots.
  13. Access window mode to set the graph parameters.
    window key
    • X min = 1970
    • X max = 2000
    • X s c l = 10 (spacing of tick marks on x -axis)
    • Y min = 0.05
    • Y max = 60
    • Y s c l = 10 (spacing of tick marks on y -axis)
    • X r e s = 1
  14. Be sure to deselect or clear all equations before graphing, using the instructions above.
  15. Press the graph button to see the scatter plot. graph key

Questions & Answers

I don't get the example
Hadekunle Reply
ways of collecting data at least 10 and explain
Ridwan Reply
Example of discrete variable
Bada Reply
sales made monthly.
I am new here, can I get someone to guide up?
dies outcome is 1, 2, 3, 4, 5, 6 nothing come outside of it. it is an example of discrete variable
continue variable is any value value between 0 to 1 it could be 4digit values eg 0.1, 0.21, 0.13, 0.623, 0.32
How to answer quantitative data
Alhassan Reply
what's up here ... am new here
sorry question a bit unclear...do you mean how do you analyze quantitative data? If yes, it depends on the specific question(s) you set in the beginning as well as on the data you collected. So the method of data analysis will be dependent on the data collecter and questions asked.
how to solve for degree of freedom
Quantitative data is the data in numeric form. For eg: Income of persons asked is 10,000. This data is quantitative data on the other hand data collected for either make or female is qualitative data.
Degree of freedom is the unconditionality. For example if you have total number of observations n, and you have to calculate variance, obviously you will need mean for that. Here mean is a condition, without which you cannot calculate variance. Therefore degree of freedom for variance will be n-1.
data that is best presented in categories like haircolor, food taste (good, bad, fair, terrible) constitutes qualitative data
vegetation types (grasslands, forests etc) qualitative data
I don't understand how you solved it can you teach me
Caleb Reply
solve what?
What is the end points of a confidence interval called?
lower and upper endpoints
Class members write down the average time (in hours, to the nearest half-hour) they sleep per night.
William Reply
how we make a classes of this(170.3,173.9,171.3,182.3,177.3,178.3,174.175.3)
why is always lower class bundry used
Assume you are in a class where quizzes are 20% of your grade, homework is 20%, exam _1 is 15%,exam _2 is 15%, and the final exam is 20%.Suppose you are in the fifth week and you just found out that you scored a 58/63 on the fist exam. You also know that you received 6/9,8/10,9/9 on the first
Diamatu Reply
quizzes as well as a 9/11,10/10,and 4.5/7 on the first three homework assignment. what is your current grade in the course?
the answer is 2.6
if putting y=3x examine that correlation coefficient between x and y=3x is 1.
Aadrsh Reply
what is permutation
Rodlett Reply
how to construct a histogram
Baalisi Reply
You have to plot the class midpoint and the frequency
ok so you use those two to draw the histogram right.
ok can i be a friend so you can be teaching me small small
how do you calculate cost effectiveness?
Hi everyone, this is a very good statistical group and am glad to be part of it. I'm just not sure how did I end up here cos this discussion just popes on my screen so if I wanna ask something in the future, how will I find you?
To make a histogram, follow these steps: On the vertical axis, place frequencies. Label this axis "Frequency". On the horizontal axis, place the lower value of each interval. ... Draw a bar extending from the lower value of each interval to the lower value of the next interval.
I really appreciate that
umar Reply
I want to test linear regression data such as maintenance fees vs house size. Can I use R square, F test to test the relationship? Is the good condition of R square greater than 0.5
Mok Reply
yes of course must have use f test and also use t test individually multple coefficients
hi frnd I'm akeem by name, I wanna study economics and statistics wat ar d thing I must do to b a great economist
Is R square cannot analysis linear regression of X vs Y relationship?
To be an economist you have to be professional in maths
hi frnds
what is random sampling what is sample error
Nistha Reply
@Nistha Kashyap Random sampling is the selection of random items (or random numbers) from the group. A sample error occurs when the selected samples do not truely represent the whole group. The can happen when most or all of the selected samples are taken from only one section of the group;
Thus the sample is not truely random.
What is zero sum game?
Hassan Reply
A game in which there is no profit & no loss to any of the both player.

Get the best Introductory statistics course in your pocket!

Source:  OpenStax, Introductory statistics. OpenStax CNX. May 06, 2016 Download for free at http://legacy.cnx.org/content/col11562/1.18
Google Play and the Google Play logo are trademarks of Google Inc.

Notification Switch

Would you like to follow the 'Introductory statistics' conversation and receive update notifications?