Suppose the following scatterplot shows data relating the number of visitors at Richmond Beach, y, on a day with a high temperature of x, in degrees Fahrenheit.

A special education teacher did research on whether or not there is a relationship between the number of students in his class and the number incidents of “acting out” behaviors exhibited by the autistic students in the classroom. He collects data for a year and aggregates them by month. He obtained the statistics below,   r= -.863 R2=.74 b= -1.212294 a= 131.176598   10.) How does the presence of more students affect the incidents in the class? a) as students are added the incidences increase b) as students are added the incidences decrease c) the number of students does not affect acting out d) the number of students caused more incidents   How much of the variability of acting out is explained by the number of students in the class?___________

Q. 24 What is the difference between absolute and relative dispersion?

Match the following scatterplots to their correct correlation coefficients (r). 1. r= -0.852. r= -0.403. r= 04. r= 0.505. r= 0.906. r= 0.99

Fill the chi square for Cross 1 and Cross 2 from the following data in the attached image: Cross 1: Phenotypes Ratio Observed Expected (O-E)2/E                                         Totals       X2 =  Cross 2: Phenotypes Ratio Observed Expected (O-E)2/E                                         Totals       X2 =

Suppose in a given problem about the correlation between height and weight of 20 college students, we come up with an r value of 0.93. What is the value of the coefficient of determination? a. 0.84b. 0.85c. 0.86d. 0.87

A chi square test tells us:  a. Whether two continuous variables are correlated with each other. b. Whether two discrete variables are independent of each other c. The amount of variation in one variable explained by the other d. Which categories of one variable are associated with which categories of the other variable

A sample of 20 ordered pairs (x,y) has a value for "r" of r = 0.485 Which of the following statements are true? At the 5% level of significance, a positive correlation exists At the 1% level of significance, a positive correlation exists At the 1% level of significance, a negative correlation exists At the 5% level of significance, a negative correlation exists

Create a scatter diagram for this correlation with time on social networking sites along the x axis