QUESTION 4 18 points Save The manager of a seafood restaurant was asked to establish a...
QUESTION 3 The manager of a seafood restaurant was asked to establish a pricing policy on lobster dinners. The manager intends to use the pricing $/LB to predict the lobster sales on each day. The pertinent historical data are collected as shown in the table. Anaswer the following questions. Day Lobster Sold/day Price ($/lb.) 1 182 7.5 2 179 7.9 3 168 7.5 4 198 7.1 5 169 7.1 6 179 6.2 7 158 8.2 a) x = independent...
41) Chapter 3 The manager of a seafood restaurant was asked to establish a pricing policy on lobster dinners. The manager intends to use the pricing S/LB to predict the lobster sales on each day. The pertinent historical data are collected as shown in the table. Anaswer the following questions. Day Lobster Sold/dayPrice (S/Tb.) 179 8.2 176 192 179 7.8 7.6 160 8.9 b) r is the coeefficient of correlation. Use the r equation to compute the value of the...
The mmanager of a a) x -independent variable. According to this problem. )ris the cocefficient of correlation. Use the r equation to part of the equation. The value for the r denominator- Blank the value of the denominator (in 4 decimal places) e) According to thi variables is - Blank 3l is problem, the correlation of coefficient, r, between the two most pertinent (in 4 decimal places). ocdng to the instructor's lecture, the correlation strength between any two variables can...
The manager of a seafood restaurant was asked to establish a pricing policy on lobster dinners. Experimenting with prices produced the following data Average number sold 158 159 154 134 131 129 118 113 114 105 Observation Price 6.00 6.50 6.75 7.00 7.25 7.75 8.00 8.25 8.50 8.75 9.00 9.25 2 3 4 6 7 8 9 10 12 79 a. Plot the graphfor the relationship between price and number of dinners sold. (Use scatter plot.) b. Determine the square...
1. construct a scatter plot for the variables 2. compute the value of the correlation coefficient 3. give an explanation of the type nof relationship that exists between the two variables. The explanation should be a short paragraph. In this paragraph inclue the following: *say whether the is a strong positiv elinear correlation, weak positive linear correlation, strong ngative linear correlation, weak negative correlation, or no linear correlation between the two variables. *explain how you can see this from the...
QUESTION 26 A cognitive psychologist conducted a study of whether familiarity of words (X) predicts the time it takes (in seconds) to press a button indicating whether the word is singular or plural (Y), with all participants being given the same words. Familiarity with these words was rated at a later time on a 7-point scale (with higher numbers indicating more familiarity). The participants' scores were: X Y 6 0.3 1.5 5 0.8 2 3 1.4 Based on these data...
Question 6A regression line can be used to determine the strength of a relationship. determine if there is a cause and effect relationship. predict Y for any X value. establish if a relationship is linear. Question 7 If the correlation coefficient R between two variables is ,it is expected that the slope of the regression line will be positive; positive positive; large negative; small positive; negative Question 8 If the slope of the simple regression line is .12, then the Pearson correlation coefficient r is expected to be positive negative small large
If a researcher obtained an r of -0.85, what could you say about this correlation? - This is a strong negative correlation. O This is a strong positive correlation. O This is a weak negative correlation. O This is a weak positive correlation. Question 4 1 pts If a researcher wanted to see if cumulative GPA predicts GRE scores, which of the two variables would be the predictor variable? The number of participants None of the other answers O GRE...
sseument Part& Pretected Viei)Word Mailings Review View Help Tell me what you want to do Enable Editing ruses. Unless you need to edit, it's safer to stay in Protected View 1. Two variables have a strong negative correlation. Which of the following statements is not true? a. the dependent variable decreases as the independent variable increases b. the trend of the data exhibits an irregular decline c. the line of best fit has a negative slope d. most data points...
The data below gives the gold medal times for every other Summer Olympics for the women's 100- meter freestyle (swimming). Can you predict the gold medal times by the year? Year Time (seconds) 1968 60.0 1976 55.65 1984 55.92 1992 54.64 2000 53.8 2008 53.1 Question 46 (2.63 points) What is the independent variable? O gold medal times years Question 47 (2.63 points) What is the dependent variable? gold medal times years Question 48 (2.63 points) What is the y-intercept?...