Question

The table shows data collected on the relationship between the average daily temperature and coffee sales (in hundreds of dollars) at a coffee shop. The line of best fit for the data is -0.68z +85.1. Assume the line of best fit is significant and there is a strong linear relationship between the variables. Temperature (Degrees) Coffee Sales (in hundreds of dollars) 30 40 50 60 65 58 50 45 According to the line of best fit, what would be the predicted number of coffee sales (in hundreds of dollars) for an average daily temperature of 32 degrees? Round your answer to two decimal places, as needed. Provide your answer below: The predicted number of coffee sales (in hundreds of dollars) is Find the linear regression line for the following table of values. You will need to use a calculator, spreadsheet, or statistical software. Enter your answer in the form y mz + b, with m and b both rounded to two decimal places. 6.03 9.65 5 11.49 6 11.57 7 12.96 14.97 9 16.31 10 17.43 11 18.55 4 Copy to Clipboard Download C SV O Help Question 4 Which of the following is not a characteristic of the chi-square distribution? Select all correct answers. Select all that apply: O The mean of the chi-square distribution is located to the left of the peak. The chi-square curve is nonsymmetrical. The χ2 curve approaches, but never touches, the positive horizontal axis. O As the degrees of freedom increases, the chi-square curves look more and more like a normal curve. Content attribution

Answer 1

Answer:

------> Regression line
y = -0.68x + 85.1
Given in the question
temprature(x) = 32
So No. of coffee sales can be calculated as follows:

y = (-0.68*32)+85.1 = -21.76 + 85.1 = 63.34
The predicted no. of coffee sales = 63.34 in hundreds of dollars

------->

Step 1: Find X.Y and X2 as it was done in the table below X.Y 2.21 3.44 2.71 4.97 7.56 5.88 6.62 3.44 4 14.91 30.24 29.4 39.72 16 25 36 4 Step 2: Find the sum of every columrn ΣΧ 21, ΣΥ 33.39, ΣΧ.Y 123.13, ΣΧ2 X.Y-123.13, X- 91 Step 3: Use the following equations to find a and b ΣΥ . Σ x2-Σχ. ΣΧΥ 33.39 . 91-21 . 123.13 7-91-212 -2.31 n.LXY-2X-2Y 7-123.13-21-33.39 0.82 7.91 - (21)2 Step 4: Substitute a and b in regression equation formula y-2.31 + 0.82-T

4)

The charecterstic that are not a chi square distribution are,

The chi square curve is equal to df under the total area.

Therefore the correct answer is:

The mean of the chi square distributon is situated to the left of the peak