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A restaurant offers three different kinds of soup and five different kinds of salad.
(a) If you are having either soup or salad, how many choices do you have?
(b) If you are having both soup and salad, how many choices do you have?
Bill has eight one-piece jump suits, three pairs of work pants, and six work shirts. He either wears a jump suit, or pants and a shirt to work. How many different possible
outfits does he have?
Suppose that license plates in a certain municipality come in two forms:
(1) three letters (A ... Z) followed by two digits (0 ... 9) or
(2) two letters followed by three digits.
How many different license plates are possible?
The following problem refers to strings in A, B, ..., Z.
How many three-letter strings are there that begin with L?
How many different four-letter strings can be formed from the letters A, B, C, D, E (repeats allowed) if the first letter must be a consonant and the last letter must be a
vowel?
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PROBLEM 1: Restaurant offer 3 different kind of soups and 5 different kinds of salads.
a)If having either salad or soup how many choices you have
b)If having both salad and soup how many choices you have
a) You can have one salad or one soup. There 3 different soups and 5 different salads,
so you have :
3 + 5 = 8 choices
b) You can ha...
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6 question please answer and post answers only thanks
1. Find the y-intercept of the equation of the regression line for the following data:
Please round to the ...
6 question please answer and post answers only thanks
1. Find the y-intercept of the equation of the regression line for the following data:
Please round to the nearest thousandth. Consumer Price Index 30.2 48.3 112.3 162.2 191.9 197.8 Cost of Pizza 0.15 0.35 1.00 1.25 1.75 2.00 2. Find the slope of the equation of the regression line for the following data:Please give your answers rounded to the nearest hundredth.. Consumer Price Index 30.2 48.3 112.3 162.2 191.9 197.8 Cost of Pizza 0.15 0.35 1.00 1.25 1.75 2.00 3.For a certain set of data, the Pearson correlation coefficient was 0.87. It was calculated based on 50 data points. Answer the following questions, based off of this information. (a)Let alpha be 0.05. Is the correlation coefficient significant? [ Select ] ["Yes", "No"] (b)Using your answer from (a), is it reasonable to fit the regression line to the data? [ Select ] ["Yes", "No"] (c)If you were to the predict a value of the dependent variable, would you use the regression line or the mean of all the values of the dependent variable? [ Select ] ["Regression line, or "Mean of all the values of the dependent variable"] 4. 4. For a certain set of data, the Pearson correlation coefficient was -0.467. It was calculated based on 8 data points. Answer the following questions, based off of this information. (a) Let alpha be 0.05. Is the correlation coefficient significant? [ Select ] ["Yes", or "No", "", ""] (b) Using your answer from (a), is it reasonable to fit the regression line to the data? [ Select ] ["Yes", or "No"] (a)If you were to the predict a value of the dependent variable, would you use the regression line or the mean of all the values of the dependent variable? [ Select ] ["Regression Line", or "Mean of all of the values of the dependent variable"] 5. In a study conducted by University of Arizona researchers, the total weight (in pounds) of garbage discarded in one week and the household size were recorded for 62 households. The linear correlation coefficient is r = 0.759 and the regression equation is = 0.445 + 0.119x, where x represents the total weight of discarded garbage. The mean of the 62 garbage weights is 27.4 pounds and the 62 households have a mean size of 3.71 people. What is the best predicted number of people in a household that discards 50 pounds of garbage? Round to the nearest hundredth6. A sample of 40 women is obtained, and their heights (in inches) and pulse rates (in beats per minutes) are measured. The linear correlation coefficient is 0.202 and the equation of the regression line is = 18.2 + 0.920x, where x represents height (based on data from the National Health Examination Survey). The mean of the 40 heights is 63.2 in. and the mean of the 40 pulse rates is 76.3 beats per minute. Find the best predicted pulse rate of a woman who is 70 inches tall. Please round to the nearest tenth.
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