User Manual
Page 321
... scatter plot. 9. Press † y d to select 4:LinReg(ax+b) (linear regression model) from the ZOOM menu. Press q 9 to the data. 10. Since the scatter plot of the time-versus -length data appears to be approximately linear, fit a line to select 9:ZoomStat from the STAT CALC menu. TI-83 Plus Statistics 318 8. LinReg(ax+b) is pasted to select...
... scatter plot. 9. Press † y d to select 4:LinReg(ax+b) (linear regression model) from the ZOOM menu. Press q 9 to the data. 10. Since the scatter plot of the time-versus -length data appears to be approximately linear, fit a line to select 9:ZoomStat from the STAT CALC menu. TI-83 Plus Statistics 318 8. LinReg(ax+b) is pasted to select...
User Manual
Page 322
The linear regression for a and b are calculated and stored automatically in Y1. Residuals are displayed on the LIST NAMES menu. 13. Press s. Values for the data in L1 ... central portion of the scatter plot well. The regression line appears to execute LinReg(ax+b). TI-83 Plus Statistics 319 L1, L2, and Y1 are displayed. The regression line and the scatter plot are pasted to the home screen as arguments to select 1:Y1. Press y d ¢ y e ¢. The linear regression equation is calculated. 11. Press ~ 1 to...
The linear regression for a and b are calculated and stored automatically in Y1. Residuals are displayed on the LIST NAMES menu. 13. Press s. Values for the data in L1 ... central portion of the scatter plot well. The regression line appears to execute LinReg(ax+b). TI-83 Plus Statistics 319 L1, L2, and Y1 are displayed. The regression line and the scatter plot are pasted to the home screen as arguments to select 1:Y1. Press y d ¢ y e ¢. The linear regression equation is calculated. 11. Press ~ 1 to...
User Manual
Page 325
... 21. Press q 9 to clear the linear regression equation from the ZOOM menu. The window variables are adjusted automatically, and plot 2 is a scatter plot of the residuals. This is displayed. Press ' to select 9:ZoomStat from Y1. TI-83 Plus Statistics 322 The residual pattern indicates a curvature... associated with the data would fit. Try a power regression to turn off plot 2. 20. Press o to turn on plot 1. Press ~ ...
... 21. Press q 9 to clear the linear regression equation from the ZOOM menu. The window variables are adjusted automatically, and plot 2 is a scatter plot of the residuals. This is displayed. Press ' to select 9:ZoomStat from Y1. TI-83 Plus Statistics 322 The residual pattern indicates a curvature... associated with the data would fit. Try a power regression to turn off plot 2. 20. Press o to turn on plot 1. Press ~ ...
User Manual
Page 357
.... Each instruction is computed and stored for these regression models. TI-83 Plus Statistics 354 QuadReg CubicReg QuartReg The r and r2 that are computed for ExpReg (y=ab^x), r and r2 are based on ln y=ln a+x(ln b). For example, for LnReg, ExpReg, and PwrReg are computed on the linearly transformed data. However, you execute it. LinReg(ax...
.... Each instruction is computed and stored for these regression models. TI-83 Plus Statistics 354 QuadReg CubicReg QuartReg The r and r2 that are computed for ExpReg (y=ab^x), r and r2 are based on ln y=ln a+x(ln b). For example, for LnReg, ExpReg, and PwrReg are computed on the linearly transformed data. However, you execute it. LinReg(ax...
User Manual
Page 362
... DiagnosticOn is set , it also displays values for a (slope) and b (y-intercept); TI-83 Plus Statistics 359 For four points, the equation is a polynomial fit; At least four points are required. At least three data points are required. LinReg (ax+b) LinReg(ax+b) (linear regression) fits the model equation y=ax+b to the data. It displays values for...
... DiagnosticOn is set , it also displays values for a (slope) and b (y-intercept); TI-83 Plus Statistics 359 For four points, the equation is a polynomial fit; At least four points are required. At least three data points are required. LinReg (ax+b) LinReg(ax+b) (linear regression) fits the model equation y=ax+b to the data. It displays values for...
User Manual
Page 363
...,freqlist,regequ] LinReg-(a+bx) LinReg(a+bx) (linear regression) fits the model equation y=a+bx to the data using a least-squares fit and transformed values ln(x) and y. LinReg(a+bx) [Xlistname,Ylistname,freqlist,regequ] LnReg-(a+b ln(x)) LnReg (logarithmic regression) fits the model equation y=a+b ln(x) to... the data. when DiagnosticOn is a polynomial regression. At least five points are required. It displays values for six or more, it is set , it also displays a value for r2 and r. It displays values for a and b; TI-83 Plus Statistics 360 It displays values for a ...
...,freqlist,regequ] LinReg-(a+bx) LinReg(a+bx) (linear regression) fits the model equation y=a+bx to the data using a least-squares fit and transformed values ln(x) and y. LinReg(a+bx) [Xlistname,Ylistname,freqlist,regequ] LnReg-(a+b ln(x)) LnReg (logarithmic regression) fits the model equation y=a+b ln(x) to... the data. when DiagnosticOn is a polynomial regression. At least five points are required. It displays values for six or more, it is set , it also displays a value for r2 and r. It displays values for a and b; TI-83 Plus Statistics 360 It displays values for a ...
User Manual
Page 418
Calculated results: , , Drawn results: LinRegTTest LinRegTTest (linear regression t test; It tests the null hypothesis H0: b=0 (equivalently, r=0) against one of slope b and the correlation coefficient r for the equation y=a+bx. item E) computes a linear regression on the given data and a t test on the value of the alternatives below. • Ha: bƒ0 and rƒ0 (b & r:ƒ0) • Ha: b0) TI-83 Plus Inferential Statistics and Distributions 415
Calculated results: , , Drawn results: LinRegTTest LinRegTTest (linear regression t test; It tests the null hypothesis H0: b=0 (equivalently, r=0) against one of slope b and the correlation coefficient r for the equation y=a+bx. item E) computes a linear regression on the given data and a t test on the value of the alternatives below. • Ha: bƒ0 and rƒ0 (b & r:ƒ0) • Ha: b0) TI-83 Plus Inferential Statistics and Distributions 415
User Manual
Page 672
...; NUM 8:lcm( y N length( y < DRAW 2:Line( y < DRAW 2:Line( ... TESTS E:LinRegTTest y 9 OPS 7:@List( TI-83 Plus Tables and Reference Information 669 Fits a linear regression model to Xlistname and Ylistname with frequency freqlist, and stores the regression equation to regequ. CALC 4:LinReg(ax+b) † ... alternative=L1 is . Fits a linear regression model to Xlistname and Ylistname with frequency freqlist, and stores the...
...; NUM 8:lcm( y N length( y < DRAW 2:Line( y < DRAW 2:Line( ... TESTS E:LinRegTTest y 9 OPS 7:@List( TI-83 Plus Tables and Reference Information 669 Fits a linear regression model to Xlistname and Ylistname with frequency freqlist, and stores the regression equation to regequ. CALC 4:LinReg(ax+b) † ... alternative=L1 is . Fits a linear regression model to Xlistname and Ylistname with frequency freqlist, and stores the...
User Manual
Page 747
The TI-83 Plus allows for undefined values on a graph. • You attempted a linear regression with a vertical line. This error is not allowed, such as a matrix entered as an element in the stat list editor. See Appendix A and the appropriate ... an editor, you entered an argument that references more than one list or matrix, but the dimensions do not match. • You attempted to a list. TI-83 Plus General Information 744 You attempted to perform an operation that is an invalid data type, such as a matrix, to divide by zero. Error Type DATA...
The TI-83 Plus allows for undefined values on a graph. • You attempted a linear regression with a vertical line. This error is not allowed, such as a matrix entered as an element in the stat list editor. See Appendix A and the appropriate ... an editor, you entered an argument that references more than one list or matrix, but the dimensions do not match. • You attempted to a list. TI-83 Plus General Information 744 You attempted to perform an operation that is an invalid data type, such as a matrix, to divide by zero. Error Type DATA...
User Manual
Page 774
..., 315 polar rose, 166 roots of a function, 203 sending variables, 629 solving a system of linear equations, 256 unit circle, 246 TI-83 Plus Index volume of curves, 131 Fill(, 276, 663 FINANCE CALC menu, 446 FINANCE VARS menu, 462... financial functions amortization schedules, 454 771 factorial (!), 94, 692 family of a cylinder, 497 examples-miscellaneous calculating outstanding loan balances, 456 convergence, 195 daylight hours in Alaska, 363 predator-prey model, 197 exponential regression...
..., 315 polar rose, 166 roots of a function, 203 sending variables, 629 solving a system of linear equations, 256 unit circle, 246 TI-83 Plus Index volume of curves, 131 Fill(, 276, 663 FINANCE CALC menu, 446 FINANCE VARS menu, 462... financial functions amortization schedules, 454 771 factorial (!), 94, 692 family of a cylinder, 497 examples-miscellaneous calculating outstanding loan balances, 456 convergence, 195 daylight hours in Alaska, 363 predator-prey model, 197 exponential regression...
User Manual
Page 778
LabelOff, 127, 668 LabelOn, 127, 668 labels graph, 127, 668 program, 519, 669 Last Entry, 33 Lbl (label), 519, 669 lcm( (least common multiple), 82, 669 least common multiple (lcm(), 82, 669 length( of string, 492, 669 less than ( key-code diagram, 532 -L-
LabelOff, 127, 668 LabelOn, 127, 668 labels graph, 127, 668 program, 519, 669 Last Entry, 33 Lbl (label), 519, 669 lcm( (least common multiple), 82, 669 least common multiple (lcm(), 82, 669 length( of string, 492, 669 less than ( key-code diagram, 532 -L-
User Manual
Page 786
... context, 344 view-names context, 346 STAT PLOTS menu, 373 stat tests and confidence intervals c².Test (chi-square test), 412 TI-83 Plus Index 1.PropZInt (one-proportion z confidence interval), 410 1.PropZTest (one-proportion z test), 402 2.PropZInt (two-proportion z confidence interval),... clearing elements from lists, 333 creating list names, 332 detaching formulas from list names, 340 displaying, 329 edit-elements context, 344 editing elements of variance), 415 LinRegTTest (linear regression t test), 415 T.Test (one-sample t test), 397 TInterval (one-sample t confidence interval), 406 ...
... context, 344 view-names context, 346 STAT PLOTS menu, 373 stat tests and confidence intervals c².Test (chi-square test), 412 TI-83 Plus Index 1.PropZInt (one-proportion z confidence interval), 410 1.PropZTest (one-proportion z test), 402 2.PropZInt (two-proportion z confidence interval),... clearing elements from lists, 333 creating list names, 332 detaching formulas from list names, 340 displaying, 329 edit-elements context, 344 editing elements of variance), 415 LinRegTTest (linear regression t test), 415 T.Test (one-sample t test), 397 TInterval (one-sample t confidence interval), 406 ...