3. Provide a chart or a table to present the relationship between the following variables:

1. Weekly rent & property price

2. Material & condition

Again, you need to provide a paragraph to describe each chart or table.

**I have used the SPSS done the graph (attached photos), I just need the explanation.

Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent Material * Condition 120 100.0% 0 0.0% 120 100.0% Material * Condition Crosstabulation Count Condition Very Poor Poor Good Excellent Total Material Timber 7 16 13 9 45 Veneer 10 18 4 36 Brick 4 14 11 10 39 Total 15 40 42 23 120 Symmetric Measures Asymptotic Approximate Standard Tb Approximate Value Error Significance Interval by Interval Pearson's R 071 095 .774 440 Ordinal by Ordinal Spearman Correlation 068 095 .738 .4620 N of Valid Cases 120 a. Not assuming the null hypothesis. b. Using the asymptotic standard error assuming the null hypothesis. c. Based on normal approximation.Tests of Normality Kolmogorov-Smirnov Shapiro-Wilk Statistic df Sig. Statistic df Sig Weekly Rent 063 120 200 970 120 009 Price .055 120 200 982 120 .116 *. This is a lower bound of the true significance. a. Lilliefors Significance Correction Histogram -Normal 25 Mean = 604.33 Std. Dev. = 226.437 N = 120 20 15 Frequency 10 250.00 500.00 750.00 1000.00 1250.00 Weekly RentHistogram - Normal 20 Mean = 886.57 Std. Dev. = 324.947 N = 120 15 Frequency 10 5 500.00 1000.00 1500.00 PriceCorrelations Weekly Rent Price Weekly Rent Pearson Correlation 666 Sig. (2-tailed) <.001 n price pearson correlation .666 sig. is significant at the level plot of weekly rent by . o d co>