A factory produces two types of electric lamps A and B. In an experiment relating to their life, the following results were obtained: Length of life (in hours) 500-700 700-900 900-1100 1100-1300 No. of lamps (A) No. of lamps (B) 05 04 11 30 26 12 10 08 06 1300-1500 08 Compare the variability of the life of the two types using coefficient of variation.

Question 4Beachcomber Ltd in a local car dealership that sells used and new vehicles. The manager of thecompany wants to know how different variables affect the sales of his vehicles. A random sample ofyearly data was taken with the view to testing the model:SALES=?+?AGE+?MIL+?ENGWhere SALES= amount that a vehicle is sold for($000’s), AGE = age of the vehicle, MIL= the totalmileage of the vehicle at the point of sale and ENG = the size of the engine. The sample of data wasprocessed using MINITAB and the following is an extract of the output obtained: d) Hence test whether ? is significant. Give reasons for your answer. e) Perform the F Test making sure to state the null and alternative hypothesis. f) Given an interpretation of the term “R-sq” and comment on its value.

A sample of blood pressure measurements is taken for a group of adults, and those values (mm Hg) are listed below. The values are matched so that 10 subjects each have a systolic and diastolic measurement. Find the coefficient of variation for each of the two samples; then compare the variation. Systolic 116 130 157 96 158 120 118 137 126 119 Diastolic 81 77 75 53 88 86 58 65 70 84 The coefficient of variation for the systolic measurements is 14.9 %. Type an integer or decimal rounded to one decimal place as needed.) The coefficient of variation for the diastolic measurements is%. Type an integer or decimal rounded to one decimal place as needed.)

Question 4 Beachcomber Ltd in a local car dealership that sells used and new vehicles. The manager of the company wants to know how different variables affect the sales of his vehicles. A random sample of yearly data was taken with the view to testing the model: SALES=a+BAGE+YMIL+&ENG Where SÄLES= amount that a vehícle is sold for($000's), AGE = age of the vehicle, MIL= the total mileage of the vehicle at the point of sale and ENG= the size of the engine. The sample of data was processed using MINITAB and the following is an extract of the output obtained: The regression equation is ***** Coef StDev t-ratio p-value Predict or Constan 1.7586 0.2525 6.9648 0.0000 AGE 0.2124 0.3175 0.5042 ** MIL -0.7527 0.3586 -2.0991 7.7664 0.0000 *** ENG 4.8124 Analysis of Variance DF MS Source 3 413.1291 138.709 **** 0.00 Regressi 7 on 50 457.7607 2.2888 Error Total 53 a) What is dependent and independent variables? b) Fully write out the regression equation c) Fill in the missing values *', '**',…

A sample of blood pressure measurements is taken for a group of adults, and those values (mm Hg) are listed below. The values are matched so that 10 subjects each have a systolic and diastolic measurement Find the coefficient of variation for each of the two samples; then compare the variation. Systolic 119 127 158 94 156 120 117 137 128 122 e Diastolic 82 74 74 50 89 89 56 62 71 82 The coefficient of variation for the systolic measurements is %. (Type an integer or decimal rounded to one decimal place as needed.) Next Get more help - Next 8:36 PM 50°F Clear 3/27/2022

Listed below are pulse rates (beats per minute) from samples of adult males and females. Does there appear to be a difference? Find the coefficient of variation for each of the two samples, then compare the variation. Male 89 70 60 69 68 51 66 55 81 70 60 64 98 54 65 D Female 66 83 80 71 72 86 87 88 90 89 92 72 86 78 79 The coefficient of variation for the male pulse rates is % (Type an integer or decimal rounded to one decimal place as needed.) The coefficient of variation for the female pulse rates is % (Type an integer or decimal rounded to one decimal place as needed.). Compare the variation. The coefficients of variation for each data set are EX Therefore, the male pulse rates vary the female pulse rates.

Calculate Pearson's correlation coefficient using the following values: (image attached)

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