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- An agent for a property management company would like to be able to predict the monthly rental cost for apartments based on the size of the apartment as defined by square footage. A sample of the rent of 25 apartments in a college rental neighborhood was selected, and the information collected revealed the following: Apartment Size (Sq. Ft.) Monthly Rent ($) 1 850 950 2 1,450 1,600 3 1,085 1,200 4 1,232 1,500 5 718 950 6 1,485 1,700 7 1,136 1,650 8 726 935 9 700 875 10 956 1,150 11 1,100 1,400 12 1,285 1,650 13 1,985 2,300 14 1,369 1,800 15 1,175 1,400 16 1,225 1,450 17 1,245 1,100 18 1,259 1,700 19 1,150 1,200 20 896 1,150 21 1,361 1,600 22 1,040 1,650 23 755 1,200 24 1,000 800 25 1,200 1,750 e) Determine the coefficient of determination r2 and then completely interpret…An agent for a property management company would like to be able to predict the monthly rental cost for apartments based on the size of the apartment as defined by square footage. A sample of the rent of 25 apartments in a college rental neighborhood was selected, and the information collected revealed the following: Apartment Size (Sq. Ft.) Monthly Rent ($) 1 850 950 2 1,450 1,600 3 1,085 1,200 4 1,232 1,500 5 718 950 6 1,485 1,700 7 1,136 1,650 8 726 935 9 700 875 10 956 1,150 11 1,100 1,400 12 1,285 1,650 13 1,985 2,300 14 1,369 1,800 15 1,175 1,400 16 1,225 1,450 17 1,245 1,100 18 1,259 1,700 19 1,150 1,200 20 896 1,150 21 1,361 1,600 22 1,040 1,650 23 755 1,200 24 1,000 800 25 1,200 1,750 i) Determine a 95% interval estimate for the average rent of apartments with 1000…You obtained the following raw data when setting up a Bradford standard curve: BSA (mg/ml) Absorbancy 595nm 0 0.225 1 0.310 2 0.420 3 0.510 4 0.610 5 0.720 6 0.810 7 0.915 8 0.950 9 0.980 10 0.990 Set up a standard curve. What would the quality of the line-fit (R2 value) be if you do not exclude experimental outliers? (Give you answer to 4 decimal places)
- Use this frequency distribution table to calculate the following: 1.Coefficient of variation 2.Geometric mean 3.Measure of skewness Interval (cm) frequency Cum more than frequency Cum less than frequency Class midpoint F.M Frequency percentage % 40≤49 3 3 30 44.5 133.5 10 50≤59 9 12 27 54.5 490.5 30 60≤69 10 22 18 64.5 645 33.3 70≤79 5 27 8 74.5 372.5 16.67 80≤89 2 29 3 84.5 169 6.67 90≤99 1 30 1 94.5 94.5 3.33 TOTALS 30 1905 100The Prevalence per 10,000 population of having health insurance for 1 (Table 5 box s. above) is: The Prevalence per 10,000 population of having health insurance for 2 (Table 5 box w. above) is:The following data set provides infromation on acres harvested and planted by year and value in the US. Year ASPARAGUS - ACRES HARVESTED ASPARAGUS - ACRES PLANTED 2015 21,700 23,500 2014 23,800 25,800 2013 24,500 26,800 2012 25,300 27,800 2011 26,800 28,400 2010 28,000 29,200 2009 29,200 30,700 2008 32,200 33,700 2007 38,600 40,900 2006 43,200 44,700 2005 49,300 51,700 2004 61,500 66,000 2003 58,000 62,000 2002 66,000 70,500 2001 70,150 75,150 2000 77,400 82,800 1999 75,890 79,590 1998 74,430 From the data set, use the planting data for the United States for recent years. Using a calculator or statistical software, find the equation for the linear regression line for 2010 to 2015. What is the pattern of the data set? Select the correct answer below: Positive linear pattern No pattern Negative linear pattern…
- find out the squre roof for given data 1-369 2-525 3-16 4-1225Use the below to plot on a line graph electronically 13 SAMPLES 87SR/86SR 87RB/86SR R5945A 0.8749 7.47 R5946 0.7328 1.11 R5945 0.9379 9.11 R5945B 0.8783 7.13 R5948B 0.8191 4.35 R5949A 0.8809 7.65 R5943A 0.7545 2.06 R5939A 0.7563 1.95 R5942B 0.8147 4.77 R5947A 0.816 4.45 R5948A 0.8162 4.62 R5946A 0.8408 5.63 R5949B 0.8505 6.40