Given the below output, interpret R-squared. Note: the response variable isChargesCoefficients:(Intercept)agebmiregionnorthwest -979.86regionsoutheast 64.83regionsouthwest -1562.19Estimate Std. Error t value Pr(>|t|)-5510.16 1814.88 -3.036 0.00244 **22.30 10.893 < 2e-16 ***53.62 5.994 2.64e-09 ***893.36 -1.097 0.27291897.84 0.072 0.94245896.58 -1.742 0.08167 .242.97321.37signif. codes: 0 ***' 0.001 **' 0.01 ** 0.05 .' 0.1'1Residual standard error: 11380 on 1332 degrees of freedomMultiple R-squared: 0.1203,F-statistic: 36.44 on 5 and 1332 DF, p-value: < 2.2e-16Adjusted R-squared: 0.117O a) 11.7% of the variation in Charges can be explained by the regression modelb) 12.03% of the variation in Charges can be explained by the regression modelc) 12.03% of the variation in Charges can be explained by the variation of theregression modeld) 11.7% of the variation in Charges can be explained by the variation of theregression model

The coefficient of determination (R2) depicts the amount of variability in the response variable due…

Answered: Given the below output, interpret…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Diameter (d) Independent variable 1. 2. 3. 1.00 m 2.00 m 3.00 m 4.00 m 5.00 m 6.00 m 7.00 m Circumference (C) Dependent variable Average value of C/d Plot a graph (Graph number 1) of the circumference of a circle as a function of the diameter using the information in Data Table 1.1. The following guidelines should be used when plotting graphs: Ratio Cld Make the proper choice of graph paper. Use a pen or a sharp pencil. Write neatly and legibly.
Please do & explain with steps: Subparts e f & g please & thank u
The Transylvania hypothesis claims that the full moon has an effect on health-related behavior. A study investigating this effect found a significant relationship between the phase of the moon and the (x-4) + 100 where y is the number of consultations as a percentage of the daily mean and x is the days since the last full 15.12 number of general practice consultations nationwide, given by y = 1.9 cos moon. a. What is the period of this function? What is the significance of this period? The period is days. (Round to two decimal places as needed.) Choose the correct meaning of the period p in the context of the problem. The x-distance between the maximum and the minimum of the graph is p. Every p days there is a full moon. There were p% more consultations when there was a full moon. The average number of daily consultations is p. b. If there was a full moon on April 7, on what day in April does this formula predict the maximum number of consultations? What percent increase would be…
To compute a student's Grade Point Average (GPA) for a term, the student's grades for each course are weighted by the number of credits for the course. Suppose a student had these grades: 4.0 in a 5 credit Math course 2.5 in a 3 credit Music course 2.7 in a 5 credit Chemistry course 3.3 in a 6 credit Journalism course What is the student's GPA for that term? Round to two decimal places Student's GPA =
-4 -3 -2 394+ 370 788 756 160 128 96 64 32 -64 -96- -128- -160- -192 -224 -256- -288 -320 -352 -384 4 S 0 Q Estimate the average rate of change from = 4 to 0. Question Help: VIDEO Message instructor Post to forum
Consider the data on climate change below: Variable Intercept CO2 Coefficient SE(Coeff) 0.1584 0.0004 T-ratio -20.1 22.1 P-value |-3.17933 <0.0001 <0.0001 0.00992 s=0.0885 with 58-2=56 degree of freedom. R squared = 89.7%. The response variable is temperature. %3D Then CO2 level for this data is 352.6ppm. a) Find a 90% confidence interval for the mean global temperature anomaly if the CO2 level reaches 450ppm. b) Fina a 90% prediction interval for the mean global temperature anomaly if the CO2 level reaches 450ppm. c) The goal of the Paris climate agreement is to a temperature anomaly of about 1.3degC in our data. If CO2 level do reach 450ppm, would this be a plausible value?
Suppose the relationship between Y and X is given by: Y = 20.53 + 10.11*X What is Y when X is -100? (Round to two decimal places.)
For chi-square, what is the difference between observed and expected frequencies? There is no difference: both look at proportions in sample Observed = proportions in sample; expected = proportions in population There is no difference: both look at proportions in population Observed = proportions in population; expected = proportions in sample
You estimated a regression with the following output. Source | SS df MS Number of obs = 423 -------------+---------------------------------- F(1, 421) = 267.80 Model | 8758968.84 1 8758968.84 Prob > F = 0.0000 Residual | 13769523.8 421 32706.7074 R-squared = 0.3888 -------------+---------------------------------- Adj R-squared = 0.3873 Total | 22528492.7 422 53385.0537 Root MSE = 180.85 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 6.150402 .3758334 16.36 0.000 5.411658 6.889145 _cons | -8.022201 24.02003 -0.33 0.739 -55.23632 39.19192…
The table below gives the population of the small (imaginary) town of Wisteria. What is the average rate of change of the town's population from 1970 to 1980? Give your answer with one decimal place of accuracy to the right of the decimal point, and give appropriate units for your answer.
See picture for problem. Thx
The baggage weights for passengers using a particular airline are normally distributed with a mean of 22 lb and a standard deviation of 4 lb. If the limit on total luggage weight is 2158 lb., what is the probability that the limit will be exceeded for 103 passengers? (Give your answer correct to four decimal places.) This got rejected saying thta 2158 could not be right, but it is. The question is correct.

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