plt.scatter (my_data['SNWD'], my_data['Deliveries']) plt.xlabel('Snow Depth (SNWD)') plt.ylabel('Deliveries') plt.title('Scatterplot of Depth of Snow on Ground vs. Deliveries') plt.show() 70 70 Scatterplot of Depth of Snow on Ground vs. Deliveries 60 50 Deliveries . 40 30 20 20 10 10 0.0 2.5 5.0 7.5 10.0 12.5 15.0 17.5 Snow Depth (SNWD) sns.regplot(x='SNWD', y='Deliveries', data=my_data) plt.title('Regplot of Depth of Snow On Ground vs. Deliveries') plt.xlabel('Snow Depth') plt.ylabel('Deliveries') plt.show() Regplot of Depth of Snow On Ground vs. Deliveries 70 70 60- 50 50 • .. 40 40 Deliveries 30 B 10 20- O e 10 10 0.0 2.5 5.0 7.5 10.0 12.5 15.0 17.5 Snow Depth

Describe about the three positive relationships of Scatterplots?

Google "covid 19 california" and choose statistics from menu on left. Select data for "all time" period. In the discussion editor, click on 3 dots, insert table using editor (3 columns and 10 rows) Label the table with headings Day (t), Cases (y), Rate of change () Fill column 1 with alternate Sunday dates starting from May 3 ending Aug 16 Fill in column 2 with number of daily cases from Google statistics page. For each row (except first), find rate of change in cases per fortnight (2wk). At = 14 For example day rate of change cases May 3 5707 (8658-5707)/14= ? cases per fortnight May 10 8658 May 17

A lecturer at WIN wanted to know if he can predict student’s quiz results by asking them to complete a simple survey. The result of the survey is found in the file: Assignment 2 sem22020 data set 1.Quiz ResultActual Mark (0-15) for quiz student attainedEQRQuiz score (0-15) expected to get before taking the quizStudy Hrs.Number of hours per week (on average) spent studying for StatisticsAgeAge (in years)BBTSatisfaction rating of Big Bang TheorySexM=1 F=0MBMB=1 for good math background, otherwise 0MCMC= 1 if math centre is used regularly, otherwise 0AuHSAuHS = 1 if student completed high school in Australia, otherwise 0LMLM=1 if student likes math, 0 otherwiseTask 1: Variable List(a) Using the variables listed in the table above, Describe each variable.(b) State for each variable whether it is qualitative or quantitative; if it is qualitative, state whether it is nominal or ordinal, and if it is quantitative, state whether it is discrete or continuous.Task 2: HistogramCreate a histogram…

Construct a scatter plot