we will allow the user to enter 3 data points, to choose labels for the x- and y-values, and to set a level of precision. The program will then display the data in a table, display the line of best fit equation (don’t worry, it is provided below), and the correlation coefficient (also provided below). Here when we speak about “precision” we mean: all numbers will be displayed with as many digits after the decimal as precision specifies, without an exponent. Enter your first x- and y-values separated by a space: [USER ENTERS TWO NUMBERS] Enter your second x- and y-values separated by a space: [USER ENTERS TWO NUMBERS] Enter your third x- and y-values separated by a space: [USER ENTERS TWO NUMBERS] Enter your x-label: [USER ENTERS A LABEL THAT MAY CONTAIN WHITE SPACE] Enter your y-label: [USER ENTERS A LABEL THAT MAY CONTAIN WHITE SPACE] What level of precision would you like? [USER ENTERS VALUE] [THE XLABEL WILL APPEAR HEERE]|[THE YLABEL WILL APPEAR HERE] ————————————————————————————————————- [X1 TOUCHES TABLE CENTRE]|[Y1 TOUCHES TABLE CENTRE] [X2 TOUCHES TABLE CENTRE]|[Y2 TOUCHES TABLE CENTRE] [X3 TOUCHES TABLE CENTRE]|[Y3 TOUCHES TABLE CENTRE] The best fitting equation is: y = [SLOPE]x + [INTERCEPT] The correlation coefficient is: [ITS VALUE]
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we will allow the user to enter 3 data points, to choose labels for the
x- and y-values, and to set a level of precision. The program will then display the data in a table, display the line of best fit equation (don’t worry, it is provided below), and the correlation coefficient (also provided below). Here when we speak about “precision” we mean: all numbers will be displayed with as many digits after the decimal as precision specifies, without an exponent.
Enter your first x- and y-values separated by a space: [USER ENTERS TWO NUMBERS]
Enter your second x- and y-values separated by a space: [USER ENTERS TWO NUMBERS]
Enter your third x- and y-values separated by a space: [USER ENTERS TWO NUMBERS]
Enter your x-label: [USER ENTERS A LABEL THAT MAY CONTAIN WHITE
SPACE]
Enter your y-label: [USER ENTERS A LABEL THAT MAY CONTAIN WHITE
SPACE]
What level of precision would you like? [USER ENTERS VALUE]
[THE XLABEL WILL APPEAR HEERE]|[THE YLABEL WILL APPEAR HERE]
————————————————————————————————————-
[X1 TOUCHES TABLE CENTRE]|[Y1 TOUCHES TABLE CENTRE]
[X2 TOUCHES TABLE CENTRE]|[Y2 TOUCHES TABLE CENTRE]
[X3 TOUCHES TABLE CENTRE]|[Y3 TOUCHES TABLE CENTRE]
The best fitting equation is: y = [SLOPE]x + [INTERCEPT]
The correlation coefficient is: [ITS VALUE]
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