BC MHSM 3303 Week 3 Application Assignment

.xlsx

School

Brazosport College *

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Course

3303

Subject

Business

Date

Jan 9, 2024

Type

xlsx

Pages

20

Uploaded by marisolrios10

Report
Years S&P 500 Stock Price 2014 1,692 $68.00 2015 1,978 $102.00 2016 1,884 $110.00 2017 2,151 $112.00 2018 2,519 $154.00 COVARIANCE.S 9107.3 Now that you have determined the answer, it is time to provide a 1 or 2 sentence write up of your answer. In statistics, it is important that you not only get the correct mathematical answer, but that you become comfortable writing up your results in a manner that is easily understood by the reader/audience. Covariance formula is used to find the average poing of two different data sets. In this case it shows that in a 4 year range, the covarience is found to be 9107.3 between the stock and prices.
SAMPLE COVARIANCE Year Expenses 1 $56,000.00 2 $58,000.00 3 $70,678.00 4 $73,000.00 5 $77,000.00 6 $82,000.00 7 $78,000.00 8 $89,000.00 9 $90,000.00 10 $95,000.00 11 $100,000.00 12 $105,000.00 13 $102,000.00 14 $102,000.00 15 $112,222.00 16 $115,969.00 17 $119,716.00 COVARIANCE.S 95548.4375 Now that you have determined the answer, it is time to provide a 1 or 2 sentence write up of your answer. In statistics, it is important that you not only get the correct mathematical answer, but that you become comfortable writing up your results in a manner that is easily understood by the reader/audience. In 17 years there is a covarience of 95,548.44
CORREL Years S&P 500 Stock Price 2014 1,692 $68.00 2015 1,978 $102.00 2016 1,884 $110.00 2017 2,151 $112.00 2018 2,519 $154.00 CORREL 95% Now that you have determined the answer, it is time to provide a 1 or 2 sentence write up of your answer. In statistics, it is important that you not only get the correct mathematical answer, but that you become comfortable writing up your results in a manner that is easily understood by the reader/audience. I was able to examine the relationship between a stock price and the performance, which correlated it to 95%?? i dont know about this.
CORREL Year Expenses 1 $56,000.00 2 $58,000.00 3 $70,678.00 4 $73,000.00 5 $77,000.00 6 $82,000.00 7 $78,000.00 8 $89,000.00 9 $90,000.00 10 $95,000.00 11 $100,000.00 12 $105,000.00 13 $102,000.00 14 $102,000.00 15 $112,222.00 16 $115,969.00 17 $119,716.00 CORREL 0.98463909713939 Now that you have determined the answer, it is time to provide a 1 or 2 sentence write up of your answer. In statistics, it is important that you not only get the correct mathematical answer, but that you become comfortable writing up your results in a manner that is easily understood by the reader/audience. In a 17 year data set, it shows that expenses correlate to .98 in each year.
PEARSON Years S&P 500 Stock Price 2014 1,692 $68.00 2015 1,978 $102.00 2016 1,884 $110.00 2017 2,151 $112.00 2018 2,519 $154.00 PEARSON 0.94957382552453 Now that you have determined the answer, it is time to provide a 1 or 2 sentence write up of your answer. In statistics, it is important that you not only get the correct mathematical answer, but that you become comfortable writing up your results in a manner that is easily understood by the reader/audience. Pearson product moment correlation coefficient for the data sets above (0.94957 )
PEARSON Year Expenses 1 $56,000.00 2 $58,000.00 3 $70,678.00 4 $73,000.00 5 $77,000.00 6 $82,000.00 7 $78,000.00 8 $89,000.00 9 $90,000.00 10 $95,000.00 11 $100,000.00 12 $105,000.00 13 $102,000.00 14 $102,000.00 15 $112,222.00 16 $115,969.00 17 $119,716.00 PEARSON 0.98463909713939 Now that you have determined the answer, it is time to provide a 1 or 2 sentence write up of your answer. In statistics, it is important that you not only get the correct mathematical answer, but that you become comfortable writing up your results in a manner that is easily understood by the reader/audience. Using the data set above we can determine that the linear relationship between the two variable it 0.984639
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