The data in the accompanying table represent the rate of return of a certain company stock for 11 months, compared with the rate of return of a certain index of 500 stocks. Both are in percent. Complete parts (a) through (d) below. E Click the icon to view the data table. (a) Treating the rate of return of the index as the explanatory variable, x, use technology to determine the estimates of Po and B,- The estimate of Bo is (Round to four decimal places as needed.)

Q: 1/6 aresin(3) =メP

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Q: What are the values of a and b?

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Q: How did you get the 100/12 value? Can you show the full work for that

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Q: (1/x − 5) + (1/x + 2) = 9/8

A: Given problems is

Q: 2.1 Evaluate f xvx +5dx (10 marks)

A: Given that   xx+5 dx Substitute u=x+5 →dudx=1  and x=u-5 ∫xx+5 dx=∫u-5 u du…

Q: (3/5 +1/5)x(2/4-1/4)=N

A: We want to find the value of N

Q: 8 (541)(2e78i) 1. (720)4

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Q: 2/3 = z/15

A:

Q: Evaluate Cxp*(1-p)^¯X for n = 4, p = 0.4, x = 3. n The answer is (Round to four decimal places as…

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Q: How did you figure the 2/3 is where it discontinuous??

A: In this question, we want to know that how the given function is discontinuous at z=2/3.

Q: 5а4 + 5а3 + 8а? + 8х + 10 dx. ,2 x +1

A:

Q: 47. 27 fx-VI+x-4 dx × 7.60306

A: To show 2π∫13x-11+x-4dx≈7.60306

Q: 13. If mED = (9x-3)', mBF = (15x – 39)', and MZBCF = (11x-9)', find mED. %3D D.

A: As per our guidelines we are suppose to solve only first question if the multiple questions are…

Q: 5rad/4 to degrees

A: Given query is to convert the radian to degree.

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.