What is the following product?
square root 12 x square root 18?

square root 30
5 square root 6
6 square root 5
6 square root 6

Find the sum to the equation 3+6+9+

Ineed or else im in trouble need a random sample of 240 park users were asked if they go to the park more often on weekdays or on the weekend. the results are shown in the table. weekdays weekend male (50) (10) female (150) (30) based on the data in the table, select correct or incorrect for each statement. correct or incorrect 1.the males go to the park more often on the weekend. 2.the females go to the park more often on weekdays. 3.for the participants in the survey, gender affects which days of the week a person goes to the park.

Part one: measurements 1. measure your own height and arm span (from finger-tip to finger-tip) in inches. you will likely need some from a parent, guardian, or sibling to get accurate measurements. record your measurements on the "data record" document. use the "data record" to you complete part two of this project. name relationship to student x height in inches y arm span in inches archie dad 72 72 ginelle mom 65 66 sarah sister 64 65 meleah sister 66 3/4 67 rachel sister 53 1/2 53 emily auntie 66 1/2 66 hannah myself 66 1/2 69 part two: representation of data with plots 1. using graphing software of your choice, create a scatter plot of your data. predict the line of best fit, and sketch it on your graph. part three: the line of best fit include your scatter plot and the answers to the following questions in your word processing document 1. 1. which variable did you plot on the x-axis, and which variable did you plot on the y-axis? explain why you assigned the variables in that way. 2. write the equation of the line of best fit using the slope-intercept formula $y = mx + b$. show all your work, including the points used to determine the slope and how the equation was determined. 3. what does the slope of the line represent within the context of your graph? what does the y-intercept represent? 5. use the line of best fit to you to describe the data correlation.