I need help analyzing and computing the data found in the attached spreadsheet.

K E J L H B C D F G Covariance and Coorelation Formulas Sample 1 Sample 2 62 63 WNE #N/A 81 Round all answers in the sheet to 2 decimal places using ROUND or the number formatting tool. Covariance (COVARIANCE.S) 67 71 Correlation (CORREL) #N/A 30 19 30 40 Correlation Calculation #N/A 74 79 74 74 Correlation from ToolPak 36 45 30 31 Delete this text then place your correlation output here 66 55 28 32 39 26 41 29 Scatter Plot of Raw Data 57 65 51 45 90 80 18 70 19 20 Sample 1 Sample 2 Sample 1 z-score Formulas Sample 2 z-score Formulas 60 21 z-scores z-scores 22 #N/A #N/A 50 23 #N/A #N/A 40 24 IN/A #N/A 30 25 #N/A #N/A 26 #N/A #N/A 20 27 #N/A #N/A 10 28 #N/A #N/A O 29 #N/A #N/A 20 30 40 50 60 70 80 10 30 #N/A #N/A 31 IN/A #N/A 32 #N/A #N/A Scatter Plot of z-scores #N/A #N/A 1.2 34 #N/A #N/A #N/A #N/A #N/A #N/A 0.8 0.6 0.4 0.2 0 0.2 0.4 0.6 0.8 1 1.2a. Use the XLMiner Analysis ToolPak to nd descriptive statistics for Sample 1 and Sample 2. Select "Descriptive Statistics" in the TooIPak, place your cursor in the "Input Range" box, and then select the cell range A1 to B16 in the sheet. Next, place your cursor in the Output Range box and then click cell D1 (or just type D1). Finally make sure "Grouped By Columns" is selected and all other check-boxes are selected. Click OK. Your descriptive statistics should now fill the shaded region of Dl:G18. Use your output to ll in the blanks below. Sample 1 Mean: (2 decimals) Sample 1 Standard Deviation: (2 decimals) Sample 2 Mean: (2 decimals) Sample 2 Standard Deviation: (2 decimals) b. Use a combination of native Excel functions, constructed formulas, and the XLMiner TooIPak to nd covariance and correlation. In cell J3, find the covariance between Sample 1 and Sample 2 using the COVARIANCE.S function. (2 decimals) In cell J5, find the correlation between Sample 1 and Sample 2 using the CORREL function. (2 decimals) In cell J7, find the correlation between Sample 1 and Sample 2 algebraically, cov/(sx*sy), by constructing a formula using other cells that are necessary for the calculation. (2 decimals) Use the XLMiner Analysis TooIPak to nd the correlation between Sample 1 and Sample 2. Place your output in cell I10. (2 decimals) c. Calculate z-scores using a mix of relative and absolute cell references. In cell A22, insert the formula =ROUND((A2-$E$3)/$E$7,2). Next grab the lower-right corner of A22 and drag down to ll in the remaining green cells of A23 to A36. Note how the formula changes by looking in Column D. Changing a cell from a relative reference such as E3 to an absolute reference such as $E$3 means that cell remains "fixed" as you drag. Therefore the formula you entered into A22 takes each data observation such as A2, A3, A4..., subtracts $E$3 and then divides by $E$7. Since the last two cells have absolute references they will not change as you drag. The ROUND function simply rounds the z-score to two digits. Now find the z-scores for Sample 2 using the same method you learned above by editing the formula to refer to the correct cells for Sample 2. Make sure each z-score is rounded to 2 places. Sample 2 z-scores