Interpreat the following tables: table1:Model SummaryModelR.R SquareAdjusted R SquareStd. Error of the Estimate.611374.195432.98297a. Predictors: (Constant), weighted average inflation rate(%), weighted average t-billstable2:ANOVAModelSum of SquaresdfMean SquareSig.1Regression783396.2272391698.1142.089194Residual1312319.7397187474.248Total2095715.9679a. Dependent Variable: NEPSE Indexb. Predictors: (Constant), weighted average inflation rate(%). weighted average t-billstable3:CoefficientsStandardizedUnstandardized CoefficientsCoefficientsModelStd. ErrorBetat.Sig(Constant)2026.210516.5633.922.006weighted average i-bills.-84.32865.469-.388-1.288.239weiahted average inflation-106.96461.996-520-1.725.128rate(%)a. Dependent Variable: NEPSE Index

The simple linear regression is used to predict the dependent variable based on the independent…

table1: Model Summary Model R. R Square Adjusted R Square Std. Error of the Estimate 1 .611° .374 195 432.98297 a. Predictors: (Constant), weighted average inflation rate(%), weiqhted average t-bills table2: ANOVA Model Sum of Squares df Mean Square Sig. 1 Regression 783396.227 2 391698.114 2.089 194 Residual 1312319.739 7 187474.248 Total 2095715.967 a. Dependent Variable: NEPSE Index b. Predictors: (Constant), weighted average inflation rate(%). weighted average t-bills table3: Coefficients Standardized Unstandardized Coefficients Coefficients Model Std. Error Beta Sig 1 (Constant) 2026.210 516.563 3.922 .006 weighted average tbills -84.328 65.469 -388 -1.288 .239 weighted average inflation -106.964 61.996 -520 -1.725 .128 rate(%) a. Dependent Variable: NEPSE Index

table1: Model Summary Model R. R Square Adjusted R Square Std. Error of the Estimate 1 .611° .374 195 432.98297 a. Predictors: (Constant), weighted average inflation rate(%), weiqhted average t-bills table2: ANOVA Model Sum of Squares df Mean Square Sig. 1 Regression 783396.227 2 391698.114 2.089 194 Residual 1312319.739 7 187474.248 Total 2095715.967 a. Dependent Variable: NEPSE Index b. Predictors: (Constant), weighted average inflation rate(%). weighted average t-bills table3: Coefficients Standardized Unstandardized Coefficients Coefficients Model Std. Error Beta Sig 1 (Constant) 2026.210 516.563 3.922 .006 weighted average tbills -84.328 65.469 -388 -1.288 .239 weighted average inflation -106.964 61.996 -520 -1.725 .128 rate(%) a. Dependent Variable: NEPSE Index

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Match these values of r with the accompanying scatterplots: 0.402, 0.736, -0.736, -1, and 1. Click the icon to view the scatterplots. Match the values of r to the scatterplots. Scatterplot 1, r= Scatterplot 2, r= Scatterplot 3, r= Scatterplot 4, r = Scatterplot 5, r = V ▼ Scatterplots 15- 14- 13- 12- 11- 10+ 0 8- 6- 4. 2- 0- 0 4 Scatterplot 1 . • 0.2 0.4 0.6 0.8 1 x Scatterplot 4 0.2 0.4 0.6 0.8 x • 1 Q Q Q ✔ 8 6- > 4- 2 ▬▬▬▬▬▬▬▬▬▬o 0- 0 0.2 0.4 0.6 0.8 -14 Scatterplot 2 0 • X Scatterplot 5 1 0.2 0.4 0.6 0.8 1 C Q Q ✔ Q Q > 8- 6- 4- 2 0- 0 0 · Scatterp T 0.2 0.4 0.6 X ▶ X
Enter the data in SPSS or EXCEL Merge the two data sets Once you have entered all the data, create a table to display the information Use any graphical method to present the data Comment on the findings Country May June July August Sept October Uganda 947 57 63 117 37 90 Kenya 411 42 55 100 85 49 Tanzania 521 72 02 116 52 46 Rwanda 753 55 15 89 4 14 Burundi 964 52 1 122 70 33 Ethiopia 327 6 26 135 17 24 Congo 967 6 7 113 90 53 Somalia 670 21 5 24 28 75 Eritrea 379 28 3 16 39 85 Country May June July August Sept. Oct. Sudan 39 5 38 11 82 86 Chad 44 10 93 11 101 187 Mali 25 30 67 21 132 82 Benin 47 37 44 10 44 21 Togo 49 31 116 11 31 18 Niger 23 40 37 13 88 18 Gambia 39 49 90 21 130 139…
A ✩ The box-and-whisker plot below represents the length, in inches, of 20 trout caught at Raystown Lake in one weekend. 4466619/varlants/5145485/take/5/ 10 Length of Trout (inches) H 15 20 H 25 30 How many trout were less than 20 inches long? Hint: 20 inches is the upper quartile of the box-and- whisker plot. So, 75% of the trout were less than 20 inches long. To find the answer: multiply the percentage (75%) x 20 (the number of inches) We use 75% because that is the Q3 in the data. 25% would be our Q1 and 50% is the median (or Q2).
Data: 3.5, 3.2, 3.1, 3.5, 3.6, 3.2, 3.4, 2.9, 4.1, 2.6, 3.3, 3.5, 3.9, 3.8, 3.7, 3.4, 3.6, 3.5, 3.5, 3.7, 3.6, 3.8, 3.2, 3.4, 4.2, 3.6, 3.1, 2.9, 2.5, 3.5, 3.1, 3.2, 3.7, 3.8, 3.4, 3.6, 3.5, 3.2, 3.6, 3.8 Sketch a histogram with ranges of 0.1, from minimum (2.5) to maximum (4.2) values. Then sketch a histogram with ranges of 0.3. You can include the relative frequency scales on the same sketches.
I'll upvote. Need it asap.
Xcas 5xdx
Evaluate the following
Match these values of r with the accompanying scatterplots: 1, 0.997, - 0.405, 0.405, and - 0.761. W Click the icon to view the scatterplots. i Scatterplots Match the values of r to the scatterplots. Scatterplot 1, r= Scatterplot 2, r = Scatterplot 1 Scatterplot 2 Scat Scatterplot 3, r= 8- 8- 8- Scatterplot 4, r = 6- 6- 6- Scatterplot 5, r= > 4- 4- 4- 2- 2- 2- 0+ 0.2 0,4 0,6 0.8 0- 0.2 0.4 0.6 0.8 0+ 0.2 0.4 1 1 Scatterplot 4 Scatterplot 5 15- 8- 14- 6- 13- 4- 12- 11- 2- 10+ ó 0.2 0.4 0.6 0.8 0- 0.2 0.4 0.6 0.8 1 Print Done
Match these values of r with the accompanying scatterplots: 0.465, - 0.465, - 0.797, 1, and 0.797. Click the icon to view the scatterplots. Match the values of r to the scatterplots. Scatterplot 1, r= Scatterplots Scatterplot 2, r= Scatterplot 3, r= Scatterplot 4, r Scatterplot 1 Scatterplot 2 Scat Scatterplot 5, r= 8- 15- 14- 6- 6- 13- >4. 12 2- 2- 11- O 02 04 o's o8 i 04 6 02 04 os o'8 10 0.2 o4 Satterplot 4 Scatterplot 5 8- 6- >4. 2- 6 02 o4 o's o's 04 o o2 04 o's o's Print Done of of