Find the coefficient of x10in the power series of each of these functions.
a)
b)
c)
d)
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- 1. Use depth-first search to produce a spanning tree for the given simple graph. Chouse i as the root b C d e g 2 h m n j karrow_forward2. Use breadth-first search to produce a spanning tree for the given simple graph. Choose i b as the root. d 00 g h f j karrow_forwardAlready got wrong Chatgpt answer Plz don't use chat gptarrow_forward
- Q/Discuss the following statement: "A complete metrice space metrice space need not be compact Give an example ? 41arrow_forward6. Math 30-2: Module Two Assignment Use the following information to answer the next question. A-One Marketing surveyed teens as they were leaving a movie theatre to learn about their purchasing habits. Some of the results are displayed in the following table: Item % of Teens who Purchased Item Page | 27 Food Beverage 61 Food or beverage 73 Food and beverage 44 Neither Food or a beverage 27 What is the probability that a teenager chosen at random purchased a beverage? Give your answer a per cent in your summative statement. Show full steps, formula and summative statement. (5 marks)arrow_forwardNo Chatgpt please will upvotearrow_forward
- (a) Interpret the estimated coefficients stating if they are statistically significant in explaining price of houses. Also interpret R squared. SUMMARY OUTPUT price and pool Regression Statistics Multiple R 0.294065 R Square 0.086474 Adjusted F 0.077605 Standard E 0.463742 Observatio 105 ANOVA df SS MS F ignificance F Regression 1 2.09679 2.09679 9.749948 0.002328 Residual 103 22.15083 0.215057 Total 104 24.24762 Intercept Coefficientstandard Err t Stat P-value Lower 95% Upper 95%.ower 95.0%/pper 95.0% 1.028381 0.218189 X Variable -0.00301 0.000965 4.71326 7.66E-06 0.595655 1.461107 0.595655 1.461107 -3.12249 0.002328 -0.00493 -0.0011 -0.00493 -0.0011 SUMMARY OUTPUT price and bedroom Regression Statistics 0.467377 Multiple R R Square 0.218441 Adjusted F 0.210853 Standard E 1.334785 Observatio 105 ANOVA df SS Regression Residual Total 103 104 MS F 1 51.29003 51.29003 28.78794 183.51 1.78165 234.8 ignificance F 5E-07 Coefficientstandard Err t Stat P-value Lower 95% Upper 95%.ower…arrow_forwardNo Chatgpt pleasearrow_forward(Q1) I have attached the dataset for Good Year Real estate home sales, with the selling prices in the first column. (a) Consider the variables "prices", bedrooms, "pool", size", "garage" and "baths". (b) Find out the correlation coefficients among all these variables. Do you see some high correlation between any two variables? correlation coefficients 0.467377 of prices and bedrooms correlation coefficients -0.20059 of pool and size correlation coefficients 0.221289 of garage and baths (c) Identify which variables are the dummy variables in your dataset. Pool and Garage (d) Next, you do multiple regression analysis. Using Excel, present a regression output between price as the dependent variable and all the other variables selected in (a) as independent variables. Include dummy variables from the dataset provided. 2 Price and bedroom porce and pool 3 price price and sze 24) price and garage price and bathsarrow_forward
- Algebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:Cengage