Write down the estimated regression equation for the relationship between temperature and ice cream sales and provide an interpretation of the slope coefficient.

The total amount of money that needs to be paid to wholesale a batch of cakes is considered a function of the quantity it has wholesed. To estimate this relationship, a cake wholesaler randomly selected 20 customers and collected information on their patterns of total payment amount (Y, USD) and wholesale quantity (X, a cake) in May of this year. Assuming a linear relationship between Y and X, the professor uses the least squares method and finds that the Y intercept = 15.90 and the slope = -0.55. Based on this information, the slope should be interpreted as:A.For each additional cake purchase, the total amount that customers will pay for wholesale cakes is estimated to be decreased by $0.55B.For each additional cake purchase, the total amount customers will have to pay for wholesale cakes is estimated to increase by $15.90C.For each additional cake purchase, the total amount customers will pay for wholesale cakes is estimated to decrease by $15.35D.For each additional cake purchase, the total amount paid by the customer for wholesale cake is estimated to increase by $0.55SUBMIT ANSWER

Zendaya has a part-time job at an ice skating rink selling hot cocoa. She decided to plot the number of hot cocoas she sold relative to the day's high temperature and then draw the line of best fit. What does the slope of the line represent?5101520253035404550304050607080901001101200xy0Hot Cocoas SoldHigh Temperature (Degrees Fahrenheit)AnswerMultiple Choice AnswersA prediction of number of hot cocoas sold when the temperature is 1degrees ∘ F.The rate of change in the expected number of hot cocoas over the day's high temperature.The rate of change in the day's high temperature for every additional hot cocoa sold.A prediction of the temperature when 1 hot cocoa is sold.

Use the least squares regression line of this data set to predict a value.The manager of a ski resort in the Alps always worries there won't be enough snow to keep the resort open into the spring. She decided to see if there was a relationship between the temperature in January and the amount of snow in the spring.For several years, she recorded the average temperature in January (in Celsius), x. On March 1, she also measured the depth of the snow at the bottom of a particular ski slope (in centimeters), y.Average temperature (in Celsius) Snow depth (in centimeters)–3 68–1 670 471 573 415 36The least squares regression line of this data set is:y=–4.269x+56.224What snow depth does this line predict for March 1st if the average temperature in January were 2 degrees Celsius?Round your answer to the nearest thousandth. centimeters

Assuming a linear relationship,use the least-squares method to compute the regression coefficients bo and b1. b0=-39.35andb1=1.42 (Round to two decimal places as needed. c.Interpret the meaning of the Y-intercept,bo,and the slope,b1.Choose the correct answer below. O A.The Y-intercept,bo,implies that if the summated rating of a restaurant is zero,the cost per meal is equal to bo,in dollars.The slope,b1,implies that for each increase of 1 in the summated rating,the cost per person is expected to decrease by b1,in dollars. B.The Y-intercept,bo,implies that if the summated rating of a restaurant is zero,the cost per meal is equal to bo,in dollars.The slope,b1,implies that for each increase of 1dollar in the cost per person,the summated rating is expected to increase by b1. OC.A practical interpretation of the Y-intercept bo is not meaningful because no operating restaurant is likely to have a rating of zero.The slope b1 implies that for each increase of 1 in the summated rating,the cost per person is expected to increase by the value of b1,in dollars. OD.The Y-intercept,bo,implies that if the summated rating of a restaurant is zero,the cost per person is bo,in dollars.The slope,b,implies the average cost per person is b dollars.

Data for price and thickness of soap is entered into a statistics software package and results in a regression equation of ŷ = 0.4 + 0.2x.What is the correct interpretation of the slope if the price is the response variable and the thickness is an explanatory variable?The price of the soap increases by $0.20, on average, when the thickness increases by 1 cm.The price of the soap decreases by $0.40, on average, when the thickness increases by 1 cm.The price of the soap decreases by $0.20, on average, when the thickness increases by 1 cm.The price of the soap increases by $0.40, on average, when the thickness increases by 1 cm.