See the attached file.
1. A piece of string wraps around a cylinder 8 times. The length of the string is 14 cm. calculate the circumference of the cylinder.
2. The mass of full bottle of cooking oil is 1.30 kg, when exactly half of the oil has been used; the mass of the bottle plus the remaining oil is 0.90kg.what is the mass of empty bottle.
3. The same mass of four different liquids is placed in some measuring cylinders, which measuring cylinder contains the liquid with the greatest density
a) (cylinder)beaker of 10 cm3 with liquid 8cm3
b) beaker of 10 cm3 with liquid of 4 cm3
c) beaker of 25 cm3 with liquid of 5cm3
d) beaker of 25 cm3 with the liquid of 10cm3.
Following is the text part of the solution. Please see the attached file for complete solution. Equations, diagrams, graphs and special characters will not appear correctly here.
1. Circumference = ...
Every step of the solution is clearly written so that it is easy to understand the process of answering the physics problems.
XYZ Advertising: Linear Regression Problem
Great news! XYZ Advertising has called you in for an interview to join its advertising team. During the interview process, you are expected to solve a linear regression problem. Consider the following data in the table below that show the cost for a Super Bowl ad from the years 1990-2006 and the average number of homes and viewers of the game.
Based on the data in the attached document, please supply the following:
1) Provide graphs of Cost versus Year, Average Number of Homes versus Year, and Average Number of Viewers versus Year.
2) Which pair from the first part has the best linear graph for predicting? Explain.
3) Create prediction equations for all three graphs, and explain what these equations mean.
4) Complete a 5-year prediction for advertising costs. Next, complete a 20-year prediction. Explain the validity in these predictions.
5) In what year would you expect the average number of viewers to reach 100 million? In what year would you expect the average number of homes to reach 50 million? Explain the validity of these predictions.
Objective: Use the Cartesian coordinate system to find the distance between two points; illustrate linear functions and their relationship to business, economics, social science, etc., and find the intersection of two lines.
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